├── tools ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-37.pyc │ ├── nfp_utls.cpython-37.pyc │ ├── input_utls.cpython-37.pyc │ ├── calculate_npf.cpython-37.pyc │ └── placement_worker.cpython-37.pyc ├── input_utls.py ├── calculate_npf.py └── placement_worker.py ├── .gitignore ├── images ├── nfp.png ├── belowleft.png ├── bigfirst.png ├── parallel.png ├── afterPacking.png ├── square_like.png ├── beforePacking.png └── problem_description.png ├── out └── uml │ ├── 优化流程图 │ └── 优化流程图.png │ └── 评估流程图 │ └── 评估流程图.png ├── doc ├── software_description.docx └── software_description.pptx ├── uml ├── 主程序流程图.plantuml ├── 评估流程图.plantuml └── 优化流程图.plantuml ├── run ├── placement.c ├── data ├── polygon_area_etc_input_0.txt ├── result_0.txt ├── polygon_area_etc_input_1.txt ├── polygon_area_etc_input_13.txt ├── polygon_area_etc_input_2.txt ├── polygon_area_etc_input_8.txt ├── polygon_area_etc_input_10.txt ├── polygon_area_etc_input_7.txt ├── polygon_area_etc_input_3.txt ├── polygon_area_etc_input_9.txt ├── polygon_area_etc_input_6.txt ├── polygon_area_etc_input_4.txt ├── polygon_area_etc_input_12.txt ├── polygon_area_etc_input_5.txt └── polygon_area_etc_input_11.txt ├── setting.py ├── LICENCE ├── README.md ├── GAlgo.py ├── main.py └── nest.py /tools/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | .vs -------------------------------------------------------------------------------- /images/nfp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mrlution/RectilinearPackingProblemSolver/HEAD/images/nfp.png -------------------------------------------------------------------------------- /images/belowleft.png: 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/tools/__pycache__/input_utls.cpython-37.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mrlution/RectilinearPackingProblemSolver/HEAD/tools/__pycache__/input_utls.cpython-37.pyc -------------------------------------------------------------------------------- /tools/__pycache__/calculate_npf.cpython-37.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mrlution/RectilinearPackingProblemSolver/HEAD/tools/__pycache__/calculate_npf.cpython-37.pyc -------------------------------------------------------------------------------- /tools/__pycache__/placement_worker.cpython-37.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mrlution/RectilinearPackingProblemSolver/HEAD/tools/__pycache__/placement_worker.cpython-37.pyc -------------------------------------------------------------------------------- /uml/主程序流程图.plantuml: -------------------------------------------------------------------------------- 1 | @startuml 2 | '主程序流程图 3 | scale 1080 width 4 | start 5 | floating note left: 主程序流程图 6 | ->Mpi fork; 7 | fork 8 | :optimization进程; 9 | fork again 10 | :evaluation进程; 11 | end fork 12 | end 13 | @enduml 14 | 15 | 16 | 17 | 18 | -------------------------------------------------------------------------------- /run: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | gcc -D__USE_XOPEN2K8 -E ./placement.c -o placement.i 3 | gcc -D__USE_XOPEN2K8 -S ./placement.i -o placement.s 4 | gcc -D__USE_XOPEN2K8 -c ./placement.s -o placement.o 5 | gcc -D__USE_XOPEN2K8 placement.o -o placement.exe 6 | rm ./placement.i 7 | rm ./placement.s 8 | rm ./placement.o 9 | -------------------------------------------------------------------------------- /placement.c: -------------------------------------------------------------------------------- 1 | #include 2 | #include 3 | #include 4 | int main(int argc,char *argv[]) { 5 | char command[50]={"python3 /home/eda20303/project/code/main.py -d "}; 6 | strcat(command,argv[1]); 7 | printf("%s",command); 8 | system(command); 9 | } 10 | -------------------------------------------------------------------------------- /uml/评估流程图.plantuml: -------------------------------------------------------------------------------- 1 | @startuml 2 | scale 1080 width 3 | start 4 | floating note left: slave评估程序流程图 5 | 6 | while(接收信号) is (不是终止信号) 7 | 8 | if(接收信号是计算NFP信号)then(yes) 9 | :接收图形信息; 10 | :计算NFP; 11 | :返回计算结果; 12 | endif 13 | if(接收信号是评估个体信号)then(yes) 14 | :接收个体信息; 15 | :评估个体; 16 | :返回计算结果; 17 | endif 18 | endwhile(终止信号) 19 | end 20 | @enduml 21 | 22 | -------------------------------------------------------------------------------- /data/polygon_area_etc_input_0.txt: -------------------------------------------------------------------------------- 1 | Polygon: 2 | (60,131)(77,131)(77,129)(68,129)(68,123)(60,123) 3 | Polygon: 4 | (60,72)(60,84)(69,84)(69,72) 5 | Polygon: 6 | (68,116)(68,111)(66,111)(66,106)(60,106)(60,123)(65,123)(65,116) 7 | Polygon: 8 | (5,131)(5,123)(0,123)(0,131) 9 | Polygon: 10 | (3,140)(3,146)(0,146)(0,140) 11 | Polygon: 12 | (86,63)(80,63)(80,55)(86,55) 13 | Polygon: 14 | (47,99)(49,99)(49,89)(40,89)(40,91)(47,91) -------------------------------------------------------------------------------- /uml/优化流程图.plantuml: -------------------------------------------------------------------------------- 1 | @startuml 2 | scale 1080 width 3 | start 4 | floating note left: 优化程序流程图 5 | '优化程序流程图 6 | :加载数据文件; 7 | :加载超参数; 8 | :计算图形之间,图形和容器之间的NFP,并发送给slave; 9 | 10 | partition 初始化种群 { 11 | :创建placement基因; 12 | :创建rotation基因; 13 | while(种群中个体足够了吗？) is (不够) 14 | :创建个体; 15 | endwhile(够了) 16 | } 17 | while(达到代数) is (没有) 18 | :将种群发送给评估脚本slave评估; 19 | :得到每个个体的评估结果fitness; 20 | partition 生成下一代种群{ 21 | :选择操作; 22 | :交叉操作; 23 | :变异操作; 24 | } 25 | endwhile(达到了) 26 | :保存结果; 27 | end 28 | 29 | @enduml 30 | 31 | -------------------------------------------------------------------------------- /data/result_0.txt: -------------------------------------------------------------------------------- 1 | In Polygon: 2 | (60,131)(77,131)(77,129)(68,129)(68,123)(60,123) 3 | Out Polygon: 4 | (6.0,9.0)(6.0,0.0)(8.0,0.0)(8.0,17.0)(0.0,17.0)(0.0,9.0) 5 | In Polygon: 6 | (60,72)(60,84)(69,84)(69,72) 7 | Out Polygon: 8 | (15.0,10.0)(24.0,10.0)(24.0,22.0)(15.0,22.0) 9 | In Polygon: 10 | (68,116)(68,111)(66,111)(66,106)(60,106)(60,123)(65,123)(65,116) 11 | Out Polygon: 12 | (14.0,5.0)(16.0,5.0)(16.0,10.0)(13.0,10.0)(13.0,17.0)(8.0,17.0)(8.0,0.0)(14.0,0.0) 13 | In Polygon: 14 | (5,131)(5,123)(0,123)(0,131) 15 | Out Polygon: 16 | (5.0,8.0)(0.0,8.0)(0.0,0.0)(5.0,0.0) 17 | In Polygon: 18 | (3,140)(3,146)(0,146)(0,140) 19 | Out Polygon: 20 | (0.0,22.0)(0.0,19.0)(6.0,19.0)(6.0,22.0) 21 | In Polygon: 22 | (86,63)(80,63)(80,55)(86,55) 23 | Out Polygon: 24 | (16.0,0.0)(22.0,0.0)(22.0,8.0)(16.0,8.0) 25 | In Polygon: 26 | (47,99)(49,99)(49,89)(40,89)(40,91)(47,91) 27 | Out Polygon: 28 | (5.0,19.0)(5.0,17.0)(13.0,17.0)(13.0,10.0)(15.0,10.0)(15.0,19.0) -------------------------------------------------------------------------------- /setting.py: -------------------------------------------------------------------------------- 1 | # -*- encoding: utf-8 -*- 2 | ''' 3 | @File : setting.py 4 | @Time : 2020/11/19 19:16:36 5 | @Author : KingofCode 6 | @Version : 1.0 7 | @Contact : mrlution@qq.com 8 | @Desc : 程序运行参数 9 | ''' 10 | # here put the import lib 11 | import platform 12 | 13 | class Settings: 14 | DEBUG=True #开发模式 15 | 16 | #自动选择操作系统 17 | SysOS=platform.system() 18 | if SysOS == "Windows": 19 | LINUXOS=False #windows OS 20 | DRAWPIC=True #是否绘图 21 | NWORKER=4 # 线程数目 22 | else: 23 | LINUXOS=True #Linux OS 24 | DRAWPIC=False #勿改动 linux服务器不绘图 25 | NWORKER=31 #勿改动 26 | 27 | #遗传算法参数 28 | POPULATION_SIZE = 31 # 基因组数 29 | MUTA_RATE = 10 # 变异概率 30 | 31 | #初始容器参数 32 | USE_FORMULA=True 33 | SQRT_LENTH_SCALE=1.2 #容器高度BIN_HEIGHT为总面积乘以SQRT_LENTH_SCALE 34 | 35 | #中止条件 36 | STOP_GENERATION=1 37 | SMALLCASE_EXPECTATION=0.84 38 | 39 | #复杂度分类后按面积排序策略 40 | ORINGINAL_STRATEGY=False #为True时 图形不分类,从大到小排 41 | COMPLEX_FIRST_STRATEGY=True #为True时 分三类,每类从大到小排,一个类一个类排. 42 | COMPLEX_FIRST_AREA_SECOND_STRATEGY=False #为True复杂的大的先,不复杂的小的后,复杂的小的,不复杂的小的 43 | MIXED_COMPLEX_STRATEGY=False #为True时,分两类,每类从大到小排 44 | 45 | # Warning: 以下参数请勿改动 46 | # 容器尺寸 47 | BIN_NORMAL = [[0, 0], [0, 1000], [2000, 1000], [2000, 0]] #顺时针顺序 # 一般布是无限长 48 | SQRT_LENTH_SCALE2=2.0 #容器长度BIN_WIDTH为总面积乘以SQRT_LENTH_SCALE2 2是为了保证足够长 49 | SCALE=10.0 50 | SPACING = 0 # 图形间隔空间 51 | ROTATIONS = 4 # 旋转选择， 1： 不能旋转 52 | 53 | settings=Settings() -------------------------------------------------------------------------------- /LICENCE: -------------------------------------------------------------------------------- 1 | BSD 3-Clause License 2 | 3 | Copyright (c) 2020, Mr.Lution 4 | All rights reserved. 5 | 6 | Redistribution and use in source and binary forms, with or without 7 | modification, are permitted provided that the following conditions are met: 8 | 9 | 1. Redistributions of source code must retain the above copyright notice, this 10 | list of conditions and the following disclaimer. 11 | 12 | 2. Redistributions in binary form must reproduce the above copyright notice, 13 | this list of conditions and the following disclaimer in the documentation 14 | and/or other materials provided with the distribution. 15 | 16 | 3. Neither the name of the copyright holder nor the names of its 17 | contributors may be used to endorse or promote products derived from 18 | this software without specific prior written permission. 19 | 20 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 21 | AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 22 | IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 23 | DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE 24 | FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL 25 | DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR 26 | SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER 27 | CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, 28 | OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE 29 | OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 30 | -------------------------------------------------------------------------------- /data/polygon_area_etc_input_1.txt: -------------------------------------------------------------------------------- 1 | Polygon: 2 | (60,131)(77,131)(77,129)(68,129)(68,123)(60,123) 3 | Polygon: 4 | (60,72)(60,84)(69,84)(69,72) 5 | Polygon: 6 | (68,116)(68,111)(66,111)(66,106)(60,106)(60,123)(65,123)(65,116) 7 | Polygon: 8 | (5,131)(5,123)(0,123)(0,131) 9 | Polygon: 10 | (3,140)(3,146)(0,146)(0,140) 11 | Polygon: 12 | (86,63)(80,63)(80,55)(86,55) 13 | Polygon: 14 | (47,99)(49,99)(49,89)(40,89)(40,91)(47,91) 15 | Polygon: 16 | (20,64)(20,55)(23,55)(23,61)(29,61)(29,64) 17 | Polygon: 18 | (40,148)(47,148)(47,140)(40,140) 19 | Polygon: 20 | (105,100)(103,100)(103,95)(100,95)(100,89)(109,89)(109,95)(105,95) 21 | Polygon: 22 | (85,95)(80,95)(80,89)(85,89) 23 | Polygon: 24 | (80,128)(82,128)(82,123)(80,123) 25 | Polygon: 26 | (7,72)(0,72)(0,77)(7,77) 27 | Polygon: 28 | (27,115)(29,115)(29,106)(20,106)(20,109)(27,109) 29 | Polygon: 30 | (0,111)(0,106)(3,106)(3,111) 31 | Polygon: 32 | (28,150)(20,150)(20,140)(39,140)(39,145)(28,145) 33 | Polygon: 34 | (0,63)(0,58)(4,58)(4,55)(9,55)(9,71)(6,71)(6,63) 35 | Polygon: 36 | (29,95)(20,95)(20,89)(29,89) 37 | Polygon: 38 | (60,58)(65,58)(65,55)(60,55) 39 | Polygon: 40 | (68,89)(68,97)(66,97)(66,91)(60,91)(60,89) 41 | Polygon: 42 | (108,63)(100,63)(100,55)(108,55) 43 | Polygon: 44 | (108,129)(108,123)(100,123)(100,129)(102,129)(102,139)(104,139)(104,129) 45 | Polygon: 46 | (30,128)(20,128)(20,123)(30,123) 47 | Polygon: 48 | (90,107)(80,107)(80,106)(90,106) 49 | Polygon: 50 | (108,86)(100,86)(100,81)(106,81)(106,72)(108,72) 51 | Polygon: 52 | (12,89)(12,97)(0,97)(0,89) 53 | Polygon: 54 | (104,119)(106,119)(106,113)(109,113)(109,106)(100,106)(100,113)(104,113) 55 | Polygon: 56 | (65,140)(60,140)(60,148)(65,148) 57 | Polygon: 58 | (80,72)(82,72)(82,79)(80,79) 59 | Polygon: 60 | (55,72)(55,81)(50,81)(50,75)(40,75)(40,72) 61 | Polygon: 62 | (40,55)(47,55)(47,67)(40,67) 63 | Polygon: 64 | (20,79)(20,72)(29,72)(29,77)(36,77)(36,79) 65 | Polygon: 66 | (48,131)(40,131)(40,123)(48,123) 67 | Polygon: 68 | (40,111)(45,111)(45,106)(40,106) 69 | Polygon: 70 | (86,156)(89,156)(89,140)(80,140)(80,146)(86,146) 71 | -------------------------------------------------------------------------------- /data/polygon_area_etc_input_13.txt: -------------------------------------------------------------------------------- 1 | Polygon: 2 | (60,131)(77,131)(77,129)(68,129)(68,123)(60,123) 3 | Polygon: 4 | (60,72)(60,84)(69,84)(69,72) 5 | Polygon: 6 | (68,116)(68,111)(66,111)(66,106)(60,106)(60,123)(65,123)(65,116) 7 | Polygon: 8 | (5,131)(5,123)(0,123)(0,131) 9 | Polygon: 10 | (3,140)(3,146)(0,146)(0,140) 11 | Polygon: 12 | (86,63)(80,63)(80,55)(86,55) 13 | Polygon: 14 | (47,99)(49,99)(49,89)(40,89)(40,91)(47,91) 15 | Polygon: 16 | (20,64)(20,55)(23,55)(23,61)(29,61)(29,64) 17 | Polygon: 18 | (40,148)(47,148)(47,140)(40,140) 19 | Polygon: 20 | (105,100)(103,100)(103,95)(100,95)(100,89)(109,89)(109,95)(105,95) 21 | Polygon: 22 | (85,95)(80,95)(80,89)(85,89) 23 | Polygon: 24 | (80,128)(82,128)(82,123)(80,123) 25 | Polygon: 26 | (7,72)(0,72)(0,77)(7,77) 27 | Polygon: 28 | (27,115)(29,115)(29,106)(20,106)(20,109)(27,109) 29 | Polygon: 30 | (0,111)(0,106)(3,106)(3,111) 31 | Polygon: 32 | (28,150)(20,150)(20,140)(39,140)(39,145)(28,145) 33 | Polygon: 34 | (0,63)(0,58)(4,58)(4,55)(9,55)(9,71)(6,71)(6,63) 35 | Polygon: 36 | (29,95)(20,95)(20,89)(29,89) 37 | Polygon: 38 | (60,58)(65,58)(65,55)(60,55) 39 | Polygon: 40 | (68,89)(68,97)(66,97)(66,91)(60,91)(60,89) 41 | Polygon: 42 | (108,63)(100,63)(100,55)(108,55) 43 | Polygon: 44 | (108,129)(108,123)(100,123)(100,129)(102,129)(102,139)(104,139)(104,129) 45 | Polygon: 46 | (30,128)(20,128)(20,123)(30,123) 47 | Polygon: 48 | (90,107)(80,107)(80,106)(90,106) 49 | Polygon: 50 | (108,86)(100,86)(100,81)(106,81)(106,72)(108,72) 51 | Polygon: 52 | (12,89)(12,97)(0,97)(0,89) 53 | Polygon: 54 | (104,119)(106,119)(106,113)(109,113)(109,106)(100,106)(100,113)(104,113) 55 | Polygon: 56 | (65,140)(60,140)(60,148)(65,148) 57 | Polygon: 58 | (80,72)(82,72)(82,79)(80,79) 59 | Polygon: 60 | (55,72)(55,81)(50,81)(50,75)(40,75)(40,72) 61 | Polygon: 62 | (40,55)(47,55)(47,67)(40,67) 63 | Polygon: 64 | (20,79)(20,72)(29,72)(29,77)(36,77)(36,79) 65 | Polygon: 66 | (48,131)(40,131)(40,123)(48,123) 67 | Polygon: 68 | (40,111)(45,111)(45,106)(40,106) 69 | Polygon: 70 | (86,156)(89,156)(89,140)(80,140)(80,146)(86,146) 71 | -------------------------------------------------------------------------------- /data/polygon_area_etc_input_2.txt: -------------------------------------------------------------------------------- 1 | Polygon: 2 | (30,74)(30,83)(23,83)(23,77)(15,77)(15,74) 3 | Polygon: 4 | (30,84)(37,84)(37,74)(30,74) 5 | Polygon: 6 | (0,131)(0,145)(5,145)(5,135)(16,135)(16,131) 7 | Polygon: 8 | (15,104)(15,93)(27,93)(27,104) 9 | Polygon: 10 | (60,78)(60,80)(66,80)(66,83)(73,83)(73,74)(70,74)(70,78) 11 | Polygon: 12 | (15,150)(15,155)(26,155)(26,150) 13 | Polygon: 14 | (45,115)(45,112)(51,112)(51,115) 15 | Polygon: 16 | (60,101)(65,101)(65,93)(60,93) 17 | Polygon: 18 | (91,114)(91,112)(75,112)(75,120)(80,120)(80,114) 19 | Polygon: 20 | (58,136)(58,143)(45,143)(45,137)(48,137)(48,131)(53,131)(53,136) 21 | Polygon: 22 | (51,80)(45,80)(45,74)(51,74) 23 | Polygon: 24 | (30,116)(37,116)(37,112)(30,112) 25 | Polygon: 26 | (20,131)(15,131)(15,146)(19,146)(19,142)(26,142)(26,137)(20,137) 27 | Polygon: 28 | (96,74)(96,80)(90,80)(90,74) 29 | Polygon: 30 | (81,100)(81,93)(75,93)(75,100) 31 | Polygon: 32 | (60,63)(60,55)(72,55)(72,63) 33 | Polygon: 34 | (90,95)(90,93)(108,93)(108,105)(105,105)(105,95) 35 | Polygon: 36 | (5,129)(8,129)(8,124)(11,124)(11,112)(0,112)(0,117)(5,117) 37 | Polygon: 38 | (0,87)(7,87)(7,74)(0,74) 39 | Polygon: 40 | (75,55)(75,58)(80,58)(80,55) 41 | Polygon: 42 | (0,59)(0,55)(13,55)(13,59) 43 | Polygon: 44 | (94,112)(97,112)(97,130)(90,130)(90,127)(94,127) 45 | Polygon: 46 | (90,131)(90,139)(96,139)(96,133)(106,133)(106,131) 47 | Polygon: 48 | (15,68)(24,68)(24,55)(15,55) 49 | Polygon: 50 | (68,131)(68,134)(60,134)(60,131) 51 | Polygon: 52 | (13,156)(13,161)(0,161)(0,150)(2,150)(2,156) 53 | Polygon: 54 | (45,98)(45,93)(55,93)(55,98) 55 | Polygon: 56 | (30,62)(30,64)(43,64)(43,55)(41,55)(41,62) 57 | Polygon: 58 | (38,101)(30,101)(30,93)(38,93) 59 | Polygon: 60 | (77,131)(75,131)(75,144)(86,144)(86,142)(77,142) 61 | Polygon: 62 | (19,123)(21,123)(21,120)(24,120)(24,112)(15,112)(15,116)(19,116) 63 | Polygon: 64 | (64,120)(60,120)(60,112)(64,112) 65 | Polygon: 66 | (0,95)(0,93)(3,93)(3,95) 67 | Polygon: 68 | (86,79)(86,74)(75,74)(75,79)(79,79)(79,82)(82,82)(82,79) 69 | Polygon: 70 | (45,55)(45,57)(50,57)(50,55) 71 | Polygon: 72 | (94,55)(94,57)(90,57)(90,55) 73 | Polygon: 74 | (30,131)(35,131)(35,141)(30,141) 75 | Polygon: 76 | (32,150)(30,150)(30,163)(37,163)(37,161)(32,161) 77 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Rectilinear Packing Problem Solver 2 | 3 | ![](https://img.shields.io/github/languages/top/Mrlution/RectilinearPackingProblemSolver?color=brightgreen) 4 | ![](https://img.shields.io/github/languages/code-size/Mrlution/RectilinearPackingProblemSolver?color=brightgreen) 5 | ![](https://img.shields.io/github/languages/count/Mrlution/RectilinearPackingProblemSolver?logoColor=brightgreen?color=brightgreen) 6 | 7 | 8 | Packing and layout problems are common in both engineering and non-engineering applications. In the Very Large Scale Integrated Circuit design, we often pack different IP Cores into a rectangular container. Usually, the IP Core is a rectilinear shape. To cut down the cost, we need to minimize the container. So the EDA software needs a fast and robust and high performance algorithm to solve the packing problem. Apart from EDA Software, many other industrial applications such as cloth cutting and newspaper layout are involved with this algorithm. 9 | 10 | The term rectilinear means the interior angles of the packed blocks are either 90 degrees or 270 degrees. The container is usually a rectangle with a fixed width and unrestricted height. The algorithm will pack all the polygonal blocks into the container without overlapping, and generate a height as small as possible. 11 | 12 | 13 | ![](images/problem_description.png) 14 | 15 | 16 | # Requirements 17 | ![](https://img.shields.io/badge/python-v3.7.0%20tested-brightgreen) 18 | 19 | [mpi4py==3.0.3](https://pypi.org/project/mpi4py/) Before you install mpi4py, you need to install a mpi software such as OpenMpi or Microsoft MPI. 20 | 21 | [pyclipper==1.2.0](https://pypi.org/project/pyclipper/) 22 | 23 | [Polygon3==3.0.8](https://pypi.org/project/Polygon3/) When you install Polygon3, you must begin with a capital "P" 24 | 25 | # How to run 26 | ```python main.py -d data_file.txt``` 27 | 28 | look at data/polygon_area_etc_input_id.txt for data format 29 | 30 | # Result 31 | This is an packing example. For our dataset, the average occupation rate is 85%. 32 | 33 | ![](images/beforePacking.png) 34 | 35 | ![](images/afterPacking.png) 36 | 37 | # How this work 38 | 39 | ## NFP 40 | Outter NFP is used to avoid overlap between objects. Inner NFP is used to ensure the objects in the bin. 41 | 42 | ![](images/nfp.png) 43 | 44 | ## Below left stratage 45 | All Object is packed at the below left position. 46 | 47 | ![](images/belowleft.png) 48 | 49 | ## Complex and big first stratage 50 | 51 | ![](images/bigfirst.png) 52 | 53 | ## Parallel computation 54 | The computation of NFPs can be parallelized, we use MPI as the parallel computation tool. 55 | 56 | ![](images/parallel.png) 57 | 58 | ## More about this project 59 | the "doc" folder contains [docx](doc/software_description.docx) and [pptx](doc/software_description.pptx) files, they described this software in detail. 60 | -------------------------------------------------------------------------------- /tools/input_utls.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | #import dxfgrabber 3 | 4 | 5 | # def find_shape_from_dxf(file_name): 6 | # """ 7 | # 读取DXF文档，从LINE里面找出多边形 8 | # :param file_name: 文档路径 9 | # :return: 10 | # """ 11 | # dxf = dxfgrabber.readfile(file_name) 12 | # all_shapes = list() 13 | # new_polygon = dict() 14 | # for e in dxf.entities: 15 | # if e.dxftype == 'LINE': 16 | # # print (e.start, e.end) 17 | # # 找封闭的多边形 18 | # # 线条不按顺序画 19 | # end_key = '{}x{}'.format(e.end[0], e.end[1]) 20 | # star_key = '{}x{}'.format(e.start[0], e.start[1]) 21 | # if end_key in new_polygon: 22 | # # 找到闭合的多边形 23 | # all_shapes.append(new_polygon[end_key]) 24 | # new_polygon.pop(end_key) 25 | # continue 26 | 27 | # # 开始和结束点转换 28 | # if star_key in new_polygon: 29 | # # 找到闭合的多边形 30 | # all_shapes.append(new_polygon[star_key]) 31 | # new_polygon.pop(star_key) 32 | # continue 33 | 34 | # # 找连接的点 35 | # has_find = False 36 | # for key, points in new_polygon.items(): 37 | # if points[-1][0] == e.start[0] and points[-1][1] == e.start[1]: 38 | # new_polygon[key].append([e.end[0], e.end[1]]) 39 | # has_find = True 40 | # break 41 | # if points[-1][0] == e.end[0] and points[-1][1] == e.end[1]: 42 | # new_polygon[key].append([e.start[0], e.start[1]]) 43 | # has_find = True 44 | # break 45 | 46 | # if not has_find: 47 | # new_polygon['{}x{}'.format( 48 | # e.start[0], e.start[1])] = [[e.start[0], e.start[1]], [e.end[0], e.end[1]]] 49 | # return all_shapes 50 | 51 | 52 | # def input_polygon(dxf_file): 53 | # """ 54 | # :param dxf_file: 文件地址 55 | # :param is_class: 返回Polygon 类，或者通用的 list 56 | # :return: 57 | # """ 58 | # # 从dxf文件中提取数据 59 | # datas = find_shape_from_dxf(dxf_file) 60 | # shapes = list() 61 | 62 | # for i in range(0, len(datas)): 63 | # shapes.append(datas[i]) 64 | 65 | # #print (shapes) 66 | # return shapes 67 | 68 | import re 69 | 70 | 71 | def vertices_str_to_list(vertices_str): 72 | 73 | pattern = re.compile(r'\((.+?)\)') 74 | vertices_temp=pattern.findall(vertices_str) 75 | vertices_list=[] 76 | for item in vertices_temp: 77 | x,y=item.split(",", 1) 78 | vertices_list.append([float(x)*10,float(y)*10]) #记得删除10 79 | return vertices_list 80 | 81 | def load_input_file(filename): 82 | polygons=[] 83 | polygons_str=[] 84 | with open(filename,'r',encoding='utf-8') as f: 85 | lines=f.readlines() 86 | # TODO:check file format 87 | for i in range(len(lines)): 88 | if i % 2 == 1: 89 | polygon_str=lines[i] 90 | polygons_str.append(polygon_str.strip('\n')) 91 | polygon_vertices_list=vertices_str_to_list(polygon_str) 92 | polygons.append(polygon_vertices_list) 93 | #print(polygons) 94 | return polygons,polygons_str 95 | 96 | # def polygonArea(polygon): 97 | # #计算多边形面积,负数说明点的顺序是逆时针 98 | # area=0 99 | # i=0 100 | # j=len(polygon)-1 101 | # while i sarea: 35 | clipper_nfp = p 36 | largest_area = sarea 37 | 38 | clipper_nfp = [{ 39 | 'x': clipper_nfp[i]['x'] + Bc[0][0] * -1, 40 | 'y':clipper_nfp[i]['y'] + Bc[0][1] * -1 41 | } for i in range(0, len(clipper_nfp))] 42 | #print("结果",clipper_nfp) 43 | return [clipper_nfp] 44 | 45 | 46 | 47 | 48 | 49 | class NFP_Calculater(): 50 | """NFP计算类 51 | """ 52 | 53 | # def __init__(self,config=None): 54 | # if config: 55 | # self.config=config 56 | # else: 57 | # config={ 58 | # 'useHoles': False, # 是否有洞，暂时都是没有洞 59 | # 'exploreConcave': False # 寻找凹面，暂时是否 60 | # } 61 | 62 | @staticmethod 63 | def process_nfp(pair): 64 | """ 65 | 计算所有图形两两组合的相切多边形（NFP） 66 | :param pair: 两个组合图形的参数 67 | :return: 68 | """ 69 | if pair is None or len(pair) == 0: 70 | return None 71 | 72 | # 考虑有没有洞和凹面 73 | # search_edges = self.config['exploreConcave'] 74 | # use_holes = self.config['useHoles'] 75 | search_edges=False 76 | use_holes=False 77 | 78 | # 图形参数 79 | #print("beforerotation",pair['A']['points'],pair['B']['points']) 80 | A = copy.deepcopy(pair['A']) 81 | A['points'] = nfp_utls.rotate_polygon(A['points'], pair['key']['A_rotation'])['points'] 82 | B = copy.deepcopy(pair['B']) 83 | B['points'] = nfp_utls.rotate_polygon(B['points'], pair['key']['B_rotation'])['points'] 84 | #print("afterrotation",A['points'],B['points']) 85 | 86 | 87 | if pair['key']['inside']: 88 | # 内切或者外切 89 | if nfp_utls.is_rectangle(A['points']): 90 | #print("points1",A['points'], B['points']) 91 | nfp = nfp_utls.nfp_rectangle(A['points'], B['points']) 92 | #print("nfp1",nfp) 93 | 94 | else: 95 | nfp = nfp_utls.nfp_polygon(A, B, True, search_edges) 96 | 97 | # ensure all interior NFPs have the same winding direction 98 | if nfp and len(nfp) > 0: 99 | for i in range(0, len(nfp)): 100 | if nfp_utls.polygon_area(nfp[i]) > 0: 101 | nfp[i].reverse() 102 | else: 103 | pass 104 | # print('NFP Warning:', pair['key']) 105 | 106 | else: 107 | if search_edges: 108 | #print(A['points'], B['points']) 109 | nfp = nfp_utls.nfp_polygon(A, B, False, search_edges) 110 | else: 111 | #print("points2",A['points'], B['points']) 112 | 113 | nfp = minkowski_difference(A, B) 114 | #print("nfp2",nfp) 115 | 116 | # 检查NFP多边形是否合理 117 | if nfp is None or len(nfp) == 0: 118 | pass 119 | # print('error in NFP 260') 120 | # print('NFP Error:', pair['key']) 121 | # print('A;', A) 122 | # print('B:', B) 123 | return None 124 | 125 | for i in range(0, len(nfp)): 126 | # if search edges is active, only the first NFP is guaranteed to pass sanity check 127 | if not search_edges or i == 0: 128 | if abs(nfp_utls.polygon_area(nfp[i])) < abs(nfp_utls.polygon_area(A['points'])): 129 | pass 130 | # print('error in NFP area 269') 131 | # print('NFP Area Error: ', abs(nfp_utls.polygon_area(nfp[i])), pair['key']) 132 | # print('NFP:', json.dumps(nfp[i])) 133 | # print('A: ', A) 134 | # print('B: ', B) 135 | nfp.pop(i) 136 | return None 137 | 138 | if len(nfp) == 0: 139 | return None 140 | # for outer NFPs, the first is guaranteed to be the largest. 141 | # Any subsequent NFPs that lie inside the first are hole 142 | for i in range(0, len(nfp)): 143 | if nfp_utls.polygon_area(nfp[i]) > 0: 144 | nfp[i].reverse() 145 | 146 | if i > 0: 147 | if nfp_utls.point_in_polygon(nfp[i][0], nfp[0]): 148 | if nfp_utls.polygon_area(nfp[i]) < 0: 149 | nfp[i].reverse() 150 | 151 | # generate nfps for children (holes of parts) if any exist 152 | # 有洞的暂时不管 153 | if use_holes and len(A) > 0: 154 | pass 155 | 156 | return {'key': pair['key'], 'value': nfp} 157 | 158 | 159 | 160 | -------------------------------------------------------------------------------- /GAlgo.py: -------------------------------------------------------------------------------- 1 | # -*- encoding: utf-8 -*- 2 | ''' 3 | @File : GAlgo.py 4 | @Time : 2020/11/19 19:15:51 5 | @Author : KingofCode 6 | @Version : 1.0 7 | @Contact : mrlution@qq.com 8 | @Desc : 遗传算法 9 | ''' 10 | 11 | # here put the import lib 12 | import copy 13 | from tools import nfp_utls 14 | import random 15 | 16 | 17 | class genetic_algorithm(): 18 | """ 19 | 遗传算法类 20 | """ 21 | 22 | def __init__(self, adam, bin_polygon, config): 23 | """ 24 | 初始化参数，根据参数生成基因群 25 | :param adam: 亚当,初代种群中的图形 26 | :param bin_polygon: 盒子 27 | :param config: 算法参数 28 | """ 29 | self.bin_bounds = bin_polygon['points'] 30 | self.bin_bounds = { 31 | 'width': bin_polygon['width'], 32 | 'height': bin_polygon['height'], 33 | } 34 | self.config = config 35 | self.bin_polygon = bin_polygon 36 | angles = list() 37 | shapes = copy.deepcopy(adam) 38 | for shape in shapes: 39 | #angles.append(0) 40 | angles.append(self.random_angle(shape))#随机得到个体的旋转角度 41 | 42 | # 基因群，图形顺序和图形旋转的角度作为基因编码 43 | #print("-----------------first population-----------------------") 44 | self.population = [{'placement': shapes, 'rotation': angles}] 45 | #print(self.population) 46 | #print("-----------------end of first population-----------------------") 47 | 48 | for i in range(1, self.config['populationSize']): 49 | mutant = self.mutate(self.population[0]) 50 | self.population.append(mutant) 51 | 52 | def random_angle(self, shape): 53 | """ 54 | 随机旋转角度的选取 55 | :param shape: 56 | :return: 57 | """ 58 | angle_list = list() 59 | for i in range(0, self.config['rotations']): 60 | angle_list.append(i * (360/self.config['rotations'])) 61 | 62 | # 打乱顺序 63 | def shuffle_array(data): 64 | for i in range(len(data)-1, 0, -1): 65 | j = random.randint(0, i) 66 | data[i], data[j] = data[j], data[i] 67 | return data 68 | 69 | 70 | angle_list = shuffle_array(angle_list) 71 | 72 | # 查看选择后图形是否能放置在里面 73 | for angle in angle_list: 74 | rotate_part = nfp_utls.rotate_polygon(shape[1]['points'], angle) 75 | # 是否判断旋转出界,没有出界可以返回旋转角度,rotate 只是尝试去转，没有真正改变图形坐标 76 | if rotate_part['width'] < self.bin_bounds['width'] and rotate_part['height'] < self.bin_bounds['height']: 77 | return angle_list[i] 78 | #return 0 79 | 80 | return 0 81 | 82 | def mutate(self, individual): 83 | clone = { 84 | 'placement': individual['placement'][:], 85 | 'rotation': individual['rotation'][:] 86 | } 87 | for i in range(0, len(clone['placement'])): 88 | if random.random() < 0.01 * self.config['mutationRate']: 89 | if i+1 < len(clone['placement']): 90 | clone['placement'][i],clone['placement'][i+1] = clone['placement'][i+1], clone['placement'][i] 91 | if random.random() < 0.01 * self.config['mutationRate']: 92 | clone['rotation'][i] = self.random_angle(clone['placement'][i]) 93 | #TODO:后面的使劲变 94 | 95 | # for i in range(int(len(clone['placement'])*0.9), len(clone['placement'])): 96 | # if 1: 97 | # if i+1 < len(clone['placement']): 98 | # clone['placement'][i],clone['placement'][i+1] = clone['placement'][i+1], clone['placement'][i] 99 | # if 1: 100 | # clone['rotation'][i] = self.random_angle(clone['placement'][i]) 101 | 102 | 103 | return clone 104 | 105 | def generation(self): 106 | # 适应度 从小到大排列 fitness越小越好 107 | self.population = sorted(self.population, key=lambda a: a['fitness']) 108 | new_population = [self.population[0]] 109 | while len(new_population) < self.config['populationSize']: 110 | male = self.random_weighted_individual() 111 | female = self.random_weighted_individual(male) 112 | # 交配得到下一代 113 | children = self.mate(male, female) 114 | 115 | # 轻微突变 116 | new_population.append(self.mutate(children[0])) 117 | 118 | if len(new_population) < self.config['populationSize']: 119 | new_population.append(self.mutate(children[1])) 120 | # print("------------------new population----------------------") 121 | # print ('new :', new_population) 122 | # print("------------------end new population----------------------") 123 | self.population = new_population 124 | 125 | def random_weighted_individual(self, exclude=None): 126 | #排名越靠前选中几率越大 127 | pop = self.population 128 | if exclude and pop.index(exclude) >= 0: 129 | pop.remove(exclude) 130 | rand = random.random() 131 | lower = 0 132 | weight = 1.0 / len(pop) 133 | upper = weight 134 | pop_len = len(pop) 135 | for i in range(0, pop_len): 136 | if (rand > lower) and (rand < upper): 137 | return pop[i] 138 | lower = upper 139 | upper += 2 * weight * float(pop_len-i)/pop_len 140 | return pop[0] 141 | 142 | def mate(self, male, female): 143 | cutpoint = random.randint(0, len(male['placement'])-1) 144 | gene1 = male['placement'][:cutpoint] 145 | rot1 = male['rotation'][:cutpoint] 146 | 147 | gene2 = female['placement'][:cutpoint] 148 | rot2 = female['rotation'][:cutpoint] 149 | 150 | def contains(gene, shape_id): 151 | for i in range(0, len(gene)): 152 | if gene[i][0] == shape_id: 153 | return True 154 | return False 155 | 156 | for i in range(len(female['placement'])-1, -1, -1): 157 | if not contains(gene1, female['placement'][i][0]): 158 | gene1.append(female['placement'][i]) 159 | rot1.append(female['rotation'][i]) 160 | 161 | for i in range(len(male['placement'])-1, -1, -1): 162 | if not contains(gene2, male['placement'][i][0]): 163 | gene2.append(male['placement'][i]) 164 | rot2.append(male['rotation'][i]) 165 | 166 | return [{'placement': gene1, 'rotation': rot1}, {'placement': gene2, 'rotation': rot2}] 167 | 168 | 169 | def minkowski_difference(A, B): 170 | """ 171 | 两个多边形的相切空间 172 | http://www.angusj.com/delphi/clipper/documentation/Docs/Units/ClipperLib/Functions/MinkowskiDiff.htm 173 | :param A: 174 | :param B: 175 | :return: 176 | """ 177 | Ac = [[p['x'], p['y']] for p in A['points']] 178 | Bc = [[p['x'] * -1, p['y'] * -1] for p in B['points']] 179 | solution = pyclipper.MinkowskiSum(Ac, Bc, True) 180 | largest_area = None 181 | clipper_nfp = None 182 | for p in solution: 183 | p = [{'x': i[0], 'y':i[1]} for i in p] 184 | sarea = nfp_utls.polygon_area(p) 185 | if largest_area is None or largest_area > sarea: 186 | clipper_nfp = p 187 | largest_area = sarea 188 | 189 | clipper_nfp = [{ 190 | 'x': clipper_nfp[i]['x'] + Bc[0][0] * -1, 191 | 'y':clipper_nfp[i]['y'] + Bc[0][1] * -1 192 | } for i in range(0, len(clipper_nfp))] 193 | return [clipper_nfp] 194 | -------------------------------------------------------------------------------- /data/polygon_area_etc_input_9.txt: -------------------------------------------------------------------------------- 1 | Polygon: 2 | (190,386)(190,389)(191,389)(191,393)(192,393)(192,378)(191,378)(191,386) 3 | Polygon: 4 | (152,134)(152,125)(159,125)(159,134) 5 | Polygon: 6 | (209,125)(209,127)(215,127)(215,125) 7 | Polygon: 8 | (0,125)(0,136)(3,136)(3,126)(14,126)(14,125) 9 | Polygon: 10 | (76,286)(91,286)(91,298)(76,298) 11 | Polygon: 12 | (57,217)(61,217)(61,225)(57,225) 13 | Polygon: 14 | (136,290)(136,286)(133,286)(133,290) 15 | Polygon: 16 | (191,367)(198,367)(198,355)(191,355)(191,359)(190,359)(190,361)(191,361) 17 | Polygon: 18 | (139,309)(133,309)(133,317)(139,317) 19 | Polygon: 20 | (174,378)(171,378)(171,392)(183,392)(183,388)(174,388) 21 | Polygon: 22 | (38,240)(47,240)(47,247)(38,247) 23 | Polygon: 24 | (216,346)(209,346)(209,332)(225,332)(225,339)(216,339) 25 | Polygon: 26 | (31,159)(31,148)(29,148)(29,158)(19,158)(19,159) 27 | Polygon: 28 | (222,230)(222,217)(209,217)(209,230) 29 | Polygon: 30 | (8,407)(8,401)(0,401)(0,407) 31 | Polygon: 32 | (8,286)(12,286)(12,300)(0,300)(0,297)(8,297) 33 | Polygon: 34 | (159,384)(159,378)(152,378)(152,384) 35 | Polygon: 36 | (44,335)(38,335)(38,332)(44,332) 37 | Polygon: 38 | (0,177)(0,171)(7,171)(7,177) 39 | Polygon: 40 | (23,177)(23,171)(19,171)(19,177) 41 | Polygon: 42 | (47,194)(47,204)(46,204)(46,195)(38,195)(38,194) 43 | Polygon: 44 | (125,205)(114,205)(114,194)(125,194) 45 | Polygon: 46 | (228,178)(233,178)(233,171)(228,171) 47 | Polygon: 48 | (76,217)(81,217)(81,220)(76,220) 49 | Polygon: 50 | (14,263)(14,269)(0,269)(0,263)(5,263)(5,265)(7,265)(7,263) 51 | Polygon: 52 | (152,178)(154,178)(154,171)(152,171) 53 | Polygon: 54 | (209,171)(211,171)(211,173)(209,173) 55 | Polygon: 56 | (178,217)(176,217)(176,218)(171,218)(171,225)(184,225)(184,218)(178,218) 57 | Polygon: 58 | (38,222)(50,222)(50,217)(38,217) 59 | Polygon: 60 | (114,240)(117,240)(117,244)(114,244) 61 | Polygon: 62 | (209,249)(220,249)(220,248)(211,248)(211,240)(209,240) 63 | Polygon: 64 | (125,378)(125,394)(114,394)(114,378) 65 | Polygon: 66 | (234,292)(228,292)(228,286)(234,286) 67 | Polygon: 68 | (29,413)(31,413)(31,401)(19,401)(19,404)(29,404) 69 | Polygon: 70 | (171,247)(177,247)(177,240)(171,240) 71 | Polygon: 72 | 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(41,148)(38,148)(38,157)(41,157) 317 | Polygon: 318 | (38,404)(38,401)(40,401)(40,404) 319 | -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | # -*- encoding: utf-8 -*- 2 | ''' 3 | @File : main.py 4 | @Time : 2020/11/19 18:30:11 5 | @Author : KingofCode 6 | @Version : 1.0 7 | @Contact : mrlution@qq.com 8 | @Desc : 文件完成MPI的启动,配置初始化,数据集加载,启动打包过程 9 | ''' 10 | 11 | # here put the import lib 12 | from setting import settings 13 | from nest import Nester 14 | from nest import find_fitness 15 | from tools.calculate_npf import NFP_Calculater 16 | from tools import input_utls 17 | import os 18 | import sys 19 | import time 20 | import math 21 | import argparse 22 | import subprocess 23 | import re 24 | 25 | # MPI 26 | from mpi4py import MPI 27 | comm = MPI.COMM_WORLD 28 | rank = comm.Get_rank() 29 | 30 | def master(data): 31 | """主程序 32 | 33 | 34 | Args: 35 | data (str): 数据集路径 36 | """ 37 | if settings.DEBUG: 38 | import time 39 | start_time = time.time() 40 | from nest import content_loop_rate 41 | 42 | n = Nester() 43 | global nWorker 44 | n.nWorker=nWorker 45 | 46 | file_path,file_name=os.path.split(data) 47 | if settings.LINUXOS: 48 | file_path="/home/eda20303/project/verify_results" 49 | file_id=re.findall("\d+",file_name)[0] 50 | 51 | #s = input_utls.input_polygon('tools/f6.dxf') 52 | shapes,shapes_str=input_utls.load_input_file(data) 53 | n.add_objects(shapes,shapes_str) 54 | nshapes=len(shapes) 55 | if settings.USE_FORMULA: 56 | if nshapes<10: 57 | settings.SQRT_LENTH_SCALE=1.1102 58 | elif nshapes>900: 59 | settings.SQRT_LENTH_SCALE=1.0645 60 | else: 61 | settings.SQRT_LENTH_SCALE=(-8.2175e-11)*(nshapes**3)+(1.9941e-07)*(nshapes**2)-(1.6552e-04)*nshapes+1.1118 62 | #settings.SQRT_LENTH_SCALE=(nshapes^3)*(-6.6730e-11)+(nshapes^2)*(2.0656e-07)+nshapes*(-2.0632e-04)+1.1292; 63 | if nshapes<=90: 64 | settings.STOP_GENERATION=10 65 | else: 66 | settings.STOP_GENERATION=1 67 | 68 | 69 | sqrt_lenth=math.sqrt(n.shapes_total_area) 70 | 71 | bin_width=sqrt_lenth*settings.SQRT_LENTH_SCALE 72 | 73 | if bin_width>300*settings.SCALE: 74 | bin_width=300*settings.SCALE 75 | 76 | settings.BIN_NORMAL[1][1] = bin_width #y轴方向的BIN_HEIGHT #TODO:优化 重力方向为x轴负方向,所以要确定一个BIN_HEIGHT,使得打包后更像正方形 77 | settings.BIN_NORMAL[2][1] = bin_width #TODO:优化 确定系数,我随便设置的0.8 78 | 79 | settings.BIN_NORMAL[2][0] = int(sqrt_lenth*settings.SQRT_LENTH_SCALE2) #x轴方向的BIN_WIDTH 乘以2是为了保证所有的块都打包 80 | settings.BIN_NORMAL[3][0] = int(sqrt_lenth*settings.SQRT_LENTH_SCALE2) 81 | 82 | print(settings.BIN_NORMAL) 83 | # 选择面布 84 | n.add_container(settings.BIN_NORMAL) 85 | 86 | # 运行计算 87 | n.run() 88 | 89 | best = n.best 90 | 91 | # 循环特定次数 92 | content_loop_rate(best, n,file_path=file_path,file_id=file_id, loop_time=settings.STOP_GENERATION,height=settings.BIN_NORMAL[1][1]) # T7 , T4 93 | 94 | stopAllWorkers() 95 | 96 | if settings.DEBUG: 97 | end_time = time.time() 98 | print("run time:",end_time-start_time) 99 | 100 | def batchMpiEval(nWorker,pop): 101 | """批量评估个体 102 | 103 | Args: 104 | nWorker (int): 工人数量 105 | pop (type):种群 106 | 107 | Returns: 108 | [int]: fitness 109 | """ 110 | 111 | nSlave = nWorker-1 112 | nJobs = len(pop) 113 | nBatch= math.ceil(nJobs/nSlave) #将pop分成多少批 114 | 115 | reward =[] 116 | i = 0 117 | for iBatch in range(nBatch): #对于每一批 118 | for iWork in range(nSlave): #对于每一个slave 119 | if i < nJobs: 120 | signal_type = i #个体的编号 121 | message = pop[i] #个体 122 | comm.send(signal_type, dest=(iWork)+1, tag=1) #发送个体编号 123 | comm.send( message, dest=(iWork)+1, tag=2) #发送个体 124 | else: 125 | signal_type = -1 126 | comm.send(signal_type, dest=(iWork)+1) #发送中止信号 127 | i = i+1 128 | i -= nSlave 129 | for iWork in range(1,nSlave+1): 130 | if i < nJobs: 131 | workResult =comm.recv(source=iWork,tag=0) #TODO:complete 接收不到数据 132 | reward.append(workResult) 133 | i+=1 134 | return reward 135 | 136 | def batchNFPCalculate(nWorker,nfp_pairs): 137 | """批量计算NFP 138 | 139 | Args: 140 | nWorker (int): 工人数量 141 | nfp_pairs (dict): 待计算nfp对 142 | 143 | Returns: 144 | list: NFP结果 145 | """ 146 | nSlave = nWorker-1 147 | nJobs = len(nfp_pairs) 148 | nBatch= math.ceil(nJobs/nSlave) 149 | 150 | pair_list =[] 151 | i = 0 152 | for iBatch in range(nBatch): # 对于每一批 153 | for iWork in range(nSlave): # 对于每一个slave 154 | if i < nJobs: 155 | signal_type = -3 #信号类型 156 | message = nfp_pairs[i] #待计算量 157 | comm.send(signal_type, dest=(iWork)+1, tag=1) #发送信号类型 158 | comm.send( message, dest=(iWork)+1, tag=2) #发送待计算量 159 | #后续还要用worker,不终止 160 | i = i+1 161 | i -= nSlave 162 | for iWork in range(1,nSlave+1): 163 | if i < nJobs: 164 | workResult =comm.recv(source=iWork,tag=0) #TODO:complete 接收不到数据 165 | pair_list.append(workResult) 166 | i+=1 167 | return pair_list 168 | 169 | def batchSendContainerAndNFPCache(nWorker,origin_container,nfp_cache): 170 | """批量发送容器和NFP缓存 171 | 172 | Args: 173 | nWorker (int): 工人数目 174 | origin_container (dict): 初始容器 175 | nfp_cache (dict): nfp缓存 176 | """ 177 | nSlave = nWorker-1 178 | nJobs = nSlave 179 | nBatch= math.ceil(nJobs/nSlave) 180 | 181 | pair_list =[] 182 | i = 0 183 | for iBatch in range(nBatch): 184 | for iWork in range(nSlave): 185 | if i < nJobs: 186 | signal_type = -4 #信号类型 187 | message1 = origin_container 188 | message2 = nfp_cache 189 | comm.send(signal_type, dest=(iWork)+1, tag=1) #发送信号类型 190 | comm.send( message1, dest=(iWork)+1, tag=2) #发送待计算量 191 | comm.send( message2, dest=(iWork)+1, tag=3) #发送待计算量 192 | #后续还要用worker,不终止 193 | i = i+1 194 | 195 | def slave(): 196 | origin_container=None 197 | nfp_cache=None 198 | while True: 199 | signal_type = comm.recv(source=0, 200 | tag=1) #接收个体编号 201 | if signal_type >= 0: #不是中止信号 202 | message =comm.recv(source=0, tag=2) # 接收个体 203 | result = find_fitness(message,origin_container,nfp_cache) 204 | #print("rank:",rank,len(nfp_cache)) 205 | comm.send(result, dest=0,tag=0) # send it back 发送fitness结果 TODO:检查 个体的fitness和个体是不是一一对应 206 | elif signal_type==-3:#计算NFP 207 | pair =comm.recv(source=0, tag=2) 208 | result=NFP_Calculater.process_nfp(pair) 209 | comm.send(result, dest=0,tag=0) 210 | 211 | elif signal_type==-4: 212 | origin_container=comm.recv(source=0, tag=2) 213 | nfp_cache=comm.recv(source=0,tag=3) 214 | if signal_type ==-1: # End signal recieved 215 | # if settings.DEBUG: 216 | # print('Worker # ', rank, ' shutting down.') 217 | break 218 | 219 | def stopAllWorkers(): 220 | """给所有工人发送停止信号 221 | """ 222 | global nWorker 223 | nSlave = nWorker - 1 224 | #print('stopping workers') 225 | for iWork in range(nSlave): 226 | comm.send(-1, dest=(iWork) + 1, tag=1) 227 | 228 | def mpi_fork(n): 229 | """重启进程 230 | 231 | Args: 232 | n (int): 核数 233 | 234 | Returns: 235 | str: 主为parent,子为children 236 | """ 237 | if n <= 1: #如果只有一个核，就直接跑任务 238 | return "child" 239 | if os.getenv("IN_MPI") is None: #如果不止一个核，主进程启动mpi去并发执行，mpi中的儿子跑完后再回到这里 240 | env = os.environ.copy() 241 | env.update(MKL_NUM_THREADS="1", OMP_NUM_THREADS="1", IN_MPI="1") #MKL intel数学核心库MKL_NUM_THREADS，MKL_NUM_THREADS OpenMP是用于共享内存并行系统的预编译处理方案，OMP_NUM_THREADS是控制OpenMP并行线程数的标准环境变量 242 | # if settings.DEBUG: 243 | # print("执行:", 244 | # ["mpiexec", "-np", str(n), sys.executable] + sys.argv 245 | # ) #['mpiexec', '-np', '9', 'C:\\Users\\Lution\\AppData\\Local\\Programs\\Python\\Python37\\python.exe', 'wann_train.py'] sys.executable Python解释程序路径 sys.argv 命令行参数List，第一个元素是程序本身路径 246 | if settings.LINUXOS: 247 | mpicmd="mpirun" 248 | shellcmd=False 249 | else: 250 | mpicmd="mpiexec" 251 | shellcmd=True 252 | subprocess.check_call( 253 | [mpicmd, "-np", str(n), sys.executable] + ['-u'] + sys.argv, 254 | env=env, 255 | shell=shellcmd 256 | ) #shell=True 解决FileNotFoundError: [WinError 2] 系统找不到指定的文件。 257 | #主程序跑到上面这里，用mpi启动了好几个儿子去跑本程序，儿子看到父亲已经设好了环境变量IN_MPI标志，就都去跑下面的else，儿子全部跑完后才会执行下面的return "parent"，至此也就结束了 258 | return "parent" 259 | else: #儿子们跑任务 260 | global nWorker, rank 261 | nWorker = comm.Get_size() 262 | rank = comm.Get_rank() 263 | #print(nWorker,rank) 264 | return "child" 265 | 266 | def main(argv): 267 | """根据mpi rank执行对应的函数 268 | 269 | Args: 270 | argv (dict): 输入参数 271 | """ 272 | if (rank == 0): 273 | master(argv.data) 274 | else: 275 | slave() 276 | 277 | def run(): 278 | """解析输入参数并启动 279 | """ 280 | parser = argparse.ArgumentParser(description=('Evolve')) 281 | 282 | parser.add_argument('-d', '--data', type=str,\ 283 | help='data file', default='data/polygon_area_etc_input_0.txt') #polygon_area_etc_input 284 | 285 | parser.add_argument('-n', '--num_worker', type=int,\ 286 | help='number of cores to use', default=settings.NWORKER) 287 | 288 | args = parser.parse_args() 289 | 290 | if "parent" == mpi_fork(args.num_worker+1): os._exit(0) 291 | 292 | main(args) 293 | 294 | if __name__ == "__main__": 295 | run() 296 | 297 | -------------------------------------------------------------------------------- /tools/placement_worker.py: -------------------------------------------------------------------------------- 1 | # -*- encoding: utf-8 -*- 2 | ''' 3 | @File : placement_worker.py 4 | @Time : 2020/11/19 19:17:57 5 | @Author : KingofCode 6 | @Version : 1.0 7 | @Contact : mrlution@qq.com 8 | @Desc : 放置过程 9 | ''' 10 | 11 | # here put the import lib 12 | import json 13 | from .nfp_utls import almost_equal, rotate_polygon, get_polygon_bounds, polygon_area 14 | import copy 15 | import pyclipper 16 | 17 | FITNESSSCALE=10 18 | 19 | 20 | class PlacementWorker(): 21 | """放置图形并得到结果 22 | """ 23 | def __init__(self, bin_polygon, paths, ids, rotations, config, nfp_cache): 24 | self.bin_polygon = bin_polygon 25 | self.paths = copy.deepcopy(paths) 26 | self.ids = ids # 图形原来的ID顺序 27 | self.rotations = rotations 28 | self.config = config 29 | self.nfpCache = nfp_cache or {} 30 | 31 | 32 | def place_paths(self): 33 | # 排列图形 34 | if self.bin_polygon is None: 35 | return None 36 | 37 | # rotate paths by given rotation 38 | rotated = list() 39 | for i in range(0, len(self.paths)): 40 | r = rotate_polygon(self.paths[i][1]['points'], self.paths[i][2]) 41 | r['rotation'] = self.paths[i][2] 42 | r['source'] = self.paths[i][1]['p_id'] 43 | r['p_id'] = self.paths[i][0] 44 | rotated.append(r) 45 | 46 | paths = rotated 47 | # 保存所有布局后的布局数据 48 | all_placements = list() 49 | # 基因组的适应值 50 | fitness = 0 51 | bin_area = abs(polygon_area(self.bin_polygon['points'])) 52 | min_width = None 53 | while len(paths) > 0:#当还有形状没安排上 54 | placed = list() 55 | placements = list() 56 | # add 1 for each new bin opened (lower fitness is better) 57 | fitness += 1 58 | for i in range(0, len(paths)):#对于每个剩余形状 59 | path = paths[i] #当前剩余图形 60 | # 图形的坐标 61 | key = json.dumps({ 62 | 'A': '-1', 63 | 'B': path['p_id'],#当前剩余图形的id 64 | 'inside': True, 65 | 'A_rotation': 0, 66 | 'B_rotation': path['rotation'] 67 | }) 68 | 69 | binNfp = self.nfpCache.get(key) #{"pair['key']":nfp}#取出当前图形和容器的内切多边形列表 70 | if binNfp is None or len(binNfp) == 0: 71 | print("error:binNfp缺失:"+key) 72 | continue #没有就忽略当前图形不放了 73 | 74 | # 无法放下,跳过 75 | error = False 76 | 77 | # 确保所有必要的 NFPs 存在 78 | for p in placed:#对于每个已经放下的图形 79 | key = json.dumps({ 80 | 'A': p['p_id'], 81 | 'B': path['p_id'], 82 | 'inside': False, 83 | 'A_rotation': p['rotation'], 84 | 'B_rotation': path['rotation'] 85 | }) 86 | nfp = self.nfpCache.get(key) #每个已经放下的图形和当前图形的外切多边形列表 87 | if nfp is None: 88 | error = True 89 | print("error:图形之间的nfp缺失:"+key) 90 | break #没有就结束,没法搞 91 | 92 | # 无法放下,跳过 93 | if error: 94 | print("error:无法放下") 95 | continue 96 | 97 | position = None 98 | if len(placed) == 0: #如果一个图形都还没放进去 99 | for j in range(0, len(binNfp)):#对于每个当前图形和容器外接多边形 100 | for k in range(0, len(binNfp[j])):#对于每个nfp的坐标 101 | if position is None or (binNfp[j][k]['x']-path['points'][0]['x'] < position['x']): 102 | position = { 103 | 'x': binNfp[j][k]['x'] - path['points'][0]['x'], #NFP中最小x与图形参考点x的距离,将图形平移到那一点要将每个x减去这个距离 104 | 'y': binNfp[j][k]['y'] - path['points'][0]['y'], #y要减去这个距离 105 | 'p_id': path['p_id'], 106 | 'rotation': path['rotation'] 107 | } 108 | 109 | placements.append(position) #存储着第一个图像应该做什么移动到目标布局 110 | placed.append(path) #第一个图像摆完 111 | continue #结束这个循环,放置下一个图形 112 | 113 | clipper_bin_nfp = list() 114 | for j in range(0, len(binNfp)): #对于每一个与Bin的NFP 115 | clipper_bin_nfp.append([[p['x'], p['y']] for p in binNfp[j]])#将NFP的每个坐标都压入clipper_bin_nfp 116 | 117 | clipper = pyclipper.Pyclipper() 118 | 119 | for j in range(0, len(placed)):#对于每一个放好的图形 120 | p = placed[j] 121 | key = json.dumps({ 122 | 'A': p['p_id'], 123 | 'B': path['p_id'], 124 | 'inside': False, 125 | 'A_rotation': p['rotation'], 126 | 'B_rotation': path['rotation'] 127 | }) 128 | nfp = self.nfpCache.get(key) #得到当前要摆放的图形和观察放好的图形之间的nfp 129 | 130 | if nfp is None: 131 | print("error:nfp缺失:"+key) 132 | continue 133 | for k in range(0, len(nfp)):#对于每一个nfp 134 | clone = [[np['x'] + placements[j]['x'], np['y'] + placements[j]['y']] for np in nfp[k]] #每个nfp移动到已放好块的周围 135 | clone = pyclipper.CleanPolygon(clone)#移除以下类型的点集 距离过近的相邻点 等等 136 | if len(clone) > 2: 137 | clipper.AddPath(clone, pyclipper.PT_SUBJECT, True)#NFP交给clipper 138 | #所有放置好的图形的NFP并集 139 | combine_nfp = clipper.Execute(pyclipper.CT_UNION, pyclipper.PFT_NONZERO, pyclipper.PFT_NONZERO) 140 | if len(combine_nfp) == 0: 141 | print("error:nfp错误:nfp并集长度为0") 142 | continue 143 | 144 | clipper = pyclipper.Pyclipper() 145 | clipper.AddPaths(combine_nfp, pyclipper.PT_CLIP, True)#将合并好的NFP交给clipper 146 | try: 147 | clipper.AddPaths(clipper_bin_nfp, pyclipper.PT_SUBJECT, True)#将要放置的图形与盒子的NFP交给clipper 148 | except: 149 | print( u'图形坐标出错', clipper_bin_nfp) 150 | 151 | # choose placement that results in the smallest bounding box 152 | #与盒子NFP(可行)-放好图形的NFP(不可行) 153 | finalNfp = clipper.Execute(pyclipper.CT_DIFFERENCE, pyclipper.PFT_NONZERO, pyclipper.PFT_NONZERO) 154 | if len(finalNfp) == 0: 155 | continue 156 | finalNfp = pyclipper.CleanPolygons(finalNfp) 157 | 158 | for j in range(len(finalNfp)-1, -1, -1): 159 | if len(finalNfp[j]) < 3: 160 | finalNfp.pop(j) 161 | if len(finalNfp) == 0: 162 | continue 163 | 164 | finalNfp = [[{'x': p[0], 'y': p[1]}for p in polygon] for polygon in finalNfp]#将所有finalNFP的点取出 165 | 166 | min_width = None 167 | min_area = None 168 | min_x = None 169 | 170 | for nf in finalNfp:#对于每个NFP 171 | 172 | if abs(polygon_area(nf)) < 2: 173 | continue 174 | 175 | for p_nf in nf:#对于每个NFP的点 176 | # 生成nfp多边形 177 | all_points = list() 178 | for m in range(0, len(placed)):#对于每个已放置图形 179 | for p in placed[m]['points']:#对于每个点 180 | all_points.append({ 181 | 'x': p['x']+placements[m]['x'],#每个点都移动到布局 182 | 'y': p['y']+placements[m]['y'] 183 | }) 184 | # path 坐标 185 | shift_vector = { 186 | 'x': p_nf['x'] - path['points'][0]['x'], 187 | 'y': p_nf['y'] - path['points'][0]['y'], 188 | 'p_id': path['p_id'], 189 | 'rotation': path['rotation'], 190 | } 191 | 192 | # 找新坐标后的最小矩形 193 | for m in range(0, len(path['points'])): 194 | all_points.append({ 195 | 'x': path['points'][m]['x'] + shift_vector['x'], 196 | 'y': path['points'][m]['y'] + shift_vector['y'] 197 | }) 198 | 199 | rect_bounds = get_polygon_bounds(all_points) 200 | # weigh width more, to help compress in direction of gravity 201 | area = rect_bounds['width'] * 2 + rect_bounds['height'] 202 | 203 | if (min_area is None or area < min_area or almost_equal(min_area, area)) and ( 204 | min_x is None or shift_vector['x'] <= min_x): 205 | min_area = area 206 | min_width = rect_bounds['width'] 207 | position = shift_vector 208 | min_x = shift_vector['x'] 209 | 210 | if position: 211 | placed.append(path) 212 | placements.append(position) 213 | 214 | if min_width: 215 | fitness += FITNESSSCALE*min_width / bin_area 216 | 217 | for p in placed:#将安排上的形状从剩余形状中剔除 218 | p_id = paths.index(p) 219 | if p_id >= 0: 220 | paths.pop(p_id) 221 | 222 | if placements and len(placements) > 0: 223 | all_placements.append(placements) 224 | 225 | else: 226 | # something wrong 227 | break 228 | 229 | fitness += 2 * len(paths) 230 | 231 | 232 | return {'placements': all_placements, 'fitness': fitness,'min_width':min_width, 'paths': paths, 'area': bin_area} 233 | -------------------------------------------------------------------------------- /data/polygon_area_etc_input_6.txt: -------------------------------------------------------------------------------- 1 | Polygon: 2 | (320,504)(320,485)(321,485)(321,499)(330,499)(330,504) 3 | Polygon: 4 | (56,425)(40,425)(40,439)(56,439) 5 | Polygon: 6 | (360,226)(370,226)(370,215)(360,215) 7 | Polygon: 8 | (360,520)(360,515)(379,515)(379,535)(374,535)(374,520) 9 | Polygon: 10 | (400,365)(400,377)(412,377)(412,365) 11 | Polygon: 12 | (400,191)(400,185)(429,185)(429,205)(419,205)(419,191) 13 | Polygon: 14 | (40,263)(40,245)(41,245)(41,259)(51,259)(51,263) 15 | Polygon: 16 | (298,335)(298,352)(280,352)(280,335) 17 | Polygon: 18 | (120,223)(120,215)(129,215)(129,223) 19 | Polygon: 20 | (12,533)(20,533)(20,515)(0,515)(0,521)(12,521) 21 | Polygon: 22 | (371,395)(360,395)(360,413)(371,413) 23 | Polygon: 24 | (400,293)(400,295)(426,295)(426,275)(422,275)(422,293) 25 | Polygon: 26 | (320,365)(320,399)(326,399)(326,378)(340,378)(340,365) 27 | Polygon: 28 | (307,205)(280,205)(280,185)(307,185) 29 | Polygon: 30 | (409,455)(409,480)(400,480)(400,455) 31 | Polygon: 32 | (120,253)(120,245)(137,245)(137,284)(133,284)(133,253) 33 | Polygon: 34 | (0,387)(0,376)(3,376)(3,365)(9,365)(9,402)(3,402)(3,387) 35 | Polygon: 36 | (120,305)(120,322)(128,322)(128,305) 37 | Polygon: 38 | (40,185)(40,196)(47,196)(47,185) 39 | Polygon: 40 | (240,234)(254,234)(254,229)(243,229)(243,215)(240,215) 41 | Polygon: 42 | (200,395)(200,413)(219,413)(219,395) 43 | Polygon: 44 | (43,380)(48,380)(48,365)(43,365)(43,370)(40,370)(40,372)(43,372) 45 | Polygon: 46 | (287,545)(280,545)(280,555)(287,555) 47 | Polygon: 48 | (7,215)(0,215)(0,217)(7,217) 49 | Polygon: 50 | (40,395)(51,395)(51,409)(40,409) 51 | Polygon: 52 | (297,425)(300,425)(300,449)(280,449)(280,443)(297,443) 53 | Polygon: 54 | (16,567)(16,545)(12,545)(12,561)(0,561)(0,567) 55 | Polygon: 56 | (502,439)(480,439)(480,425)(502,425) 57 | Polygon: 58 | (66,485)(40,485)(40,490)(58,490)(58,504)(66,504) 59 | Polygon: 60 | (120,335)(120,355)(140,355)(140,335) 61 | Polygon: 62 | (280,524)(289,524)(289,515)(280,515) 63 | Polygon: 64 | (301,405)(301,395)(280,395)(280,422)(287,422)(287,405) 65 | Polygon: 66 | (160,305)(181,305)(181,309)(166,309)(166,321)(160,321) 67 | Polygon: 68 | (400,305)(400,321)(415,321)(415,305) 69 | Polygon: 70 | (160,365)(160,385)(162,385)(162,370)(174,370)(174,365) 71 | Polygon: 72 | (0,472)(0,455)(13,455)(13,472) 73 | Polygon: 74 | (328,305)(328,317)(320,317)(320,305) 75 | Polygon: 76 | (453,470)(461,470)(461,455)(440,455)(440,462)(453,462) 77 | Polygon: 78 | (127,527)(127,522)(125,522)(125,515)(120,515)(120,537)(125,537)(125,527) 79 | Polygon: 80 | (167,515)(167,527)(160,527)(160,515) 81 | Polygon: 82 | (246,335)(246,341)(240,341)(240,335) 83 | Polygon: 84 | (447,305)(447,315)(440,315)(440,305) 85 | Polygon: 86 | (455,350)(463,350)(463,335)(440,335)(440,341)(455,341) 87 | Polygon: 88 | (120,411)(120,395)(122,395)(122,408)(134,408)(134,411) 89 | Polygon: 90 | (240,185)(261,185)(261,198)(240,198) 91 | Polygon: 92 | (327,438)(327,425)(320,425)(320,438) 93 | Polygon: 94 | (480,193)(480,185)(494,185)(494,209)(489,209)(489,193) 95 | Polygon: 96 | (200,466)(213,466)(213,465)(202,465)(202,455)(200,455) 97 | Polygon: 98 | (480,485)(499,485)(499,499)(480,499) 99 | Polygon: 100 | (368,260)(360,260)(360,245)(368,245)(368,250)(375,250)(375,252)(368,252) 101 | Polygon: 102 | (80,215)(80,221)(92,221)(92,215) 103 | Polygon: 104 | (40,215)(40,221)(43,221)(43,215) 105 | Polygon: 106 | (86,275)(95,275)(95,291)(86,291)(86,286)(80,286)(80,284)(86,284) 107 | Polygon: 108 | (320,185)(328,185)(328,196)(320,196) 109 | Polygon: 110 | (0,185)(0,193)(3,193)(3,185) 111 | Polygon: 112 | (90,362)(80,362)(80,335)(90,335)(90,343)(97,343)(97,350)(90,350) 113 | Polygon: 114 | (331,341)(331,335)(320,335)(320,341) 115 | Polygon: 116 | (160,191)(160,185)(168,185)(168,191) 117 | Polygon: 118 | (211,275)(206,275)(206,285)(200,285)(200,295)(220,295)(220,283)(211,283) 119 | Polygon: 120 | (212,254)(200,254)(200,245)(212,245) 121 | Polygon: 122 | (490,309)(490,305)(480,305)(480,309) 123 | Polygon: 124 | (105,365)(105,387)(97,387)(97,372)(80,372)(80,365) 125 | Polygon: 126 | (320,395)(336,395)(336,416)(320,416) 127 | Polygon: 128 | (240,515)(253,515)(253,531)(240,531) 129 | Polygon: 130 | (16,363)(20,363)(20,335)(0,335)(0,344)(16,344) 131 | Polygon: 132 | (440,433)(455,433)(455,425)(440,425) 133 | Polygon: 134 | (320,254)(320,245)(335,245)(335,269)(328,269)(328,254) 135 | Polygon: 136 | (170,455)(160,455)(160,464)(170,464) 137 | Polygon: 138 | (169,441)(160,441)(160,425)(184,425)(184,429)(169,429) 139 | Polygon: 140 | (170,215)(170,225)(160,225)(160,215) 141 | Polygon: 142 | (377,431)(377,425)(360,425)(360,445)(362,445)(362,431) 143 | Polygon: 144 | (120,556)(133,556)(133,555)(122,555)(122,545)(120,545) 145 | Polygon: 146 | (379,379)(360,379)(360,365)(379,365) 147 | Polygon: 148 | (280,379)(280,365)(283,365)(283,376)(295,376)(295,379) 149 | Polygon: 150 | (480,232)(480,215)(494,215)(494,232) 151 | Polygon: 152 | (440,493)(440,485)(447,485)(447,493) 153 | Polygon: 154 | (124,425)(120,425)(120,440)(139,440)(139,434)(124,434) 155 | Polygon: 156 | (474,245)(440,245)(440,247)(463,247)(463,259)(474,259) 157 | Polygon: 158 | (296,275)(296,301)(280,301)(280,275) 159 | Polygon: 160 | (0,440)(0,425)(8,425)(8,440) 161 | Polygon: 162 | (258,449)(258,461)(240,461)(240,425)(242,425)(242,449) 163 | Polygon: 164 | (400,215)(435,215)(435,216)(414,216)(414,225)(400,225) 165 | Polygon: 166 | (240,320)(263,320)(263,305)(240,305) 167 | Polygon: 168 | (240,245)(261,245)(261,250)(246,250)(246,264)(240,264) 169 | Polygon: 170 | (200,365)(200,388)(219,388)(219,365) 171 | Polygon: 172 | (400,515)(400,540)(407,540)(407,524)(424,524)(424,515) 173 | Polygon: 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| (160,485)(160,501)(176,501)(176,485) 205 | Polygon: 206 | (80,315)(80,311)(81,311)(81,305)(84,305)(84,324)(81,324)(81,315) 207 | Polygon: 208 | (120,282)(136,282)(136,275)(120,275) 209 | Polygon: 210 | (366,459)(366,455)(360,455)(360,459) 211 | Polygon: 212 | (51,455)(56,455)(56,459)(63,459)(63,470)(40,470)(40,459)(51,459) 213 | Polygon: 214 | (93,485)(80,485)(80,489)(93,489) 215 | Polygon: 216 | (480,245)(480,251)(483,251)(483,245) 217 | Polygon: 218 | (440,215)(440,223)(449,223)(449,215) 219 | Polygon: 220 | (440,403)(440,395)(456,395)(456,419)(449,419)(449,403) 221 | Polygon: 222 | (200,425)(200,458)(202,458)(202,439)(214,439)(214,425) 223 | Polygon: 224 | (160,410)(184,410)(184,395)(160,395) 225 | Polygon: 226 | (14,308)(14,275)(11,275)(11,295)(0,295)(0,308) 227 | Polygon: 228 | (120,455)(120,480)(133,480)(133,455) 229 | Polygon: 230 | (172,545)(160,545)(160,553)(172,553) 231 | Polygon: 232 | (80,469)(80,455)(95,455)(95,493)(90,493)(90,469) 233 | Polygon: 234 | (413,253)(400,253)(400,245)(413,245) 235 | Polygon: 236 | (172,290)(160,290)(160,275)(195,275)(195,282)(172,282) 237 | Polygon: 238 | (63,519)(63,525)(40,525)(40,519)(47,519)(47,515)(53,515)(53,519) 239 | Polygon: 240 | (327,289)(320,289)(320,275)(327,275) 241 | Polygon: 242 | (400,395)(407,395)(407,401)(400,401) 243 | Polygon: 244 | (451,284)(440,284)(440,275)(451,275) 245 | Polygon: 246 | (338,232)(340,232)(340,215)(320,215)(320,220)(338,220) 247 | Polygon: 248 | (80,399)(80,409)(95,409)(95,399)(90,399)(90,395)(87,395)(87,399) 249 | Polygon: 250 | (11,395)(11,404)(0,404)(0,395) 251 | Polygon: 252 | (49,277)(40,277)(40,275)(49,275) 253 | Polygon: 254 | (132,386)(137,386)(137,377)(143,377)(143,365)(120,365)(120,377)(132,377) 255 | Polygon: 256 | (372,286)(360,286)(360,275)(372,275) 257 | Polygon: 258 | (200,515)(205,515)(205,525)(200,525) 259 | Polygon: 260 | (280,245)(288,245)(288,253)(280,253) 261 | Polygon: 262 | (44,305)(40,305)(40,322)(60,322)(60,313)(44,313) 263 | Polygon: 264 | (215,335)(200,335)(200,336)(212,336)(212,345)(215,345) 265 | Polygon: 266 | (17,505)(17,485)(0,485)(0,505) 267 | Polygon: 268 | (40,545)(40,556)(49,556)(49,545) 269 | Polygon: 270 | (377,493)(377,485)(360,485)(360,506)(367,506)(367,493) 271 | Polygon: 272 | (400,485)(400,499)(409,499)(409,485) 273 | Polygon: 274 | (204,215)(200,215)(200,232)(221,232)(221,229)(204,229) 275 | Polygon: 276 | (240,545)(240,565)(242,565)(242,550)(252,550)(252,545) 277 | Polygon: 278 | (337,477)(337,455)(320,455)(320,477) 279 | Polygon: 280 | (200,485)(200,499)(210,499)(210,485) 281 | Polygon: 282 | (206,204)(200,204)(200,185)(226,185)(226,192)(206,192) 283 | Polygon: 284 | (440,196)(440,202)(440,202)(440,209)(446,209)(446,185)(440,185)(440,196) 285 | Polygon: 286 | (80,245)(80,259)(86,259)(86,245) 287 | Polygon: 288 | (485,335)(485,341)(480,341)(480,335) 289 | Polygon: 290 | (265,275)(240,275)(240,281)(256,281)(256,295)(265,295) 291 | Polygon: 292 | (480,533)(480,515)(502,515)(502,533) 293 | Polygon: 294 | (420,344)(420,335)(400,335)(400,344)(406,344)(406,351)(410,351)(410,344) 295 | Polygon: 296 | (200,551)(200,545)(211,545)(211,551) 297 | Polygon: 298 | (280,221)(280,215)(283,215)(283,221) 299 | Polygon: 300 | (218,305)(200,305)(200,307)(213,307)(213,318)(218,318) 301 | Polygon: 302 | (58,350)(58,335)(40,335)(40,350) 303 | Polygon: 304 | (240,365)(240,376)(248,376)(248,365) 305 | Polygon: 306 | (283,473)(280,473)(280,455)(300,455)(300,462)(283,462) 307 | Polygon: 308 | (480,369)(480,375)(497,375)(497,369)(492,369)(492,365)(489,365)(489,369) 309 | Polygon: 310 | (160,256)(168,256)(168,245)(160,245) 311 | Polygon: 312 | (288,308)(280,308)(280,305)(288,305) 313 | Polygon: 314 | (450,383)(440,383)(440,365)(450,365) 315 | Polygon: 316 | (265,403)(265,395)(240,395)(240,416)(246,416)(246,403) 317 | Polygon: 318 | (240,496)(240,500)(245,500)(245,506)(258,506)(258,485)(245,485)(245,496) 319 | Polygon: 320 | (400,437)(411,437)(411,425)(400,425) 321 | Polygon: 322 | (484,406)(480,406)(480,395)(484,395) 323 | Polygon: 324 | (453,529)(440,529)(440,527)(451,527)(451,515)(453,515) 325 | Polygon: 326 | (259,455)(240,455)(240,470)(259,470) 327 | Polygon: 328 | (80,435)(80,425)(89,425)(89,435) 329 | Polygon: 330 | (336,551)(336,545)(320,545)(320,565)(322,565)(322,551) 331 | -------------------------------------------------------------------------------- /data/polygon_area_etc_input_4.txt: -------------------------------------------------------------------------------- 1 | Polygon: 2 | (123,324)(123,315)(121,315)(121,322)(114,322)(114,324) 3 | Polygon: 4 | (171,125)(181,125)(181,134)(171,134) 5 | Polygon: 6 | (152,315)(160,315)(160,317)(153,317)(153,325)(152,325) 7 | Polygon: 8 | (181,296)(171,296)(171,305)(181,305) 9 | Polygon: 10 | (141,145)(141,148)(133,148)(133,145)(136,145)(136,144)(137,144)(137,145) 11 | Polygon: 12 | (99,258)(95,258)(95,265)(99,265) 13 | Polygon: 14 | (191,277)(191,281)(190,281)(190,277) 15 | Polygon: 16 | 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(216,462)(216,459)(234,459)(234,476)(232,476)(232,462) 603 | -------------------------------------------------------------------------------- /nest.py: -------------------------------------------------------------------------------- 1 | # -*- encoding: utf-8 -*- 2 | ''' 3 | @File : nest.py 4 | @Time : 2020/11/19 18:52:28 5 | @Author : KingofCode 6 | @Version : 1.0 7 | @Contact : mrlution@qq.com 8 | @Desc : 主要的打包类 9 | ''' 10 | 11 | # here put the import lib 12 | from tools import placement_worker, nfp_utls 13 | import math 14 | import json 15 | import random 16 | import copy 17 | from Polygon import Polygon 18 | import pyclipper 19 | #from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas 20 | #from matplotlib.figure import Figure 21 | #from settings import SPACING, ROTATIONS, POPULATION_SIZE, MUTA_RATE,DEBUG,DRAWPIC,SCALE,COMPLEX_FIRST_STRATEGY,COMPLEX_FIRST_AREA_SECOND_STRATEGY,MIXED_COMPLEX_STRATEGY,STOP_GENERATION 22 | from setting import settings 23 | from GAlgo import genetic_algorithm 24 | 25 | 26 | 27 | class ThisClass(): 28 | """仅仅用作初始参数的存储 29 | """ 30 | config = { 31 | 'curveTolerance': 0, # 允许的最大误差.更小的将需要更长的时间来计算 32 | 'spacing': settings.SPACING, # 积木块间的间隔 33 | 'rotations': settings.ROTATIONS, # 旋转的颗粒度，360°的n份，如：4 = [0, 90 ,180, 270] 34 | 'populationSize': settings.POPULATION_SIZE, # 基因群数量 35 | 'mutationRate': settings.MUTA_RATE, # 变异概率 36 | 'useHoles': False, # 是否有洞，暂时都是没有洞 37 | 'exploreConcave': False # 寻找凹面，暂时是否 38 | } 39 | container = None 40 | container_bounds=None 41 | nfp_cache = {} 42 | 43 | 44 | 45 | 46 | class Nester: 47 | """主要的打包模块,控制着打包过程 48 | """ 49 | def __init__(self, container=None, shapes=None): 50 | 51 | self.originalshapes=[] 52 | self.container = container # 打包容器 53 | self.shapes = shapes # 积木块形状信息 54 | self.shapes_total_area=None 55 | #self.shapes_max_length = 0 # 在无限长的布 56 | self.results = list() # storage for the different results 57 | self.nfp_cache = {} # 缓存中间计算结果 58 | 59 | # 遗传算法的参数 60 | self.config = ThisClass.config 61 | self.GA = None # 遗传算法 62 | self.best = None # 记录最佳结果 63 | self.worker = None # 根据NFP结果，计算每个图形的转移数据 64 | self.container_bounds = None # 容器的最小包络矩形作为输出图的坐标 65 | 66 | def add_objects(self, objects,objects_str): 67 | """加载形状 68 | 69 | Args: 70 | objects (list): 形状信息 71 | objects_str (str): 因为打分程序要求输入点的顺序不能改变,使用它来存储这一信息 72 | """ 73 | if not isinstance(objects, list): 74 | objects = [objects] 75 | if not self.shapes: 76 | self.shapes = [] 77 | 78 | self.originalshapes=objects_str 79 | p_id = 0 80 | total_area = 0 81 | for obj in objects: 82 | points = self.clean_polygon(obj) 83 | shape = { 84 | 'area': 0, 85 | 'p_id': str(p_id), 86 | 'points': [{'x': p[0], 'y': p[1]} for p in points] 87 | } 88 | # 确定多边形的线段方向 89 | area = nfp_utls.polygon_area(shape['points']) 90 | if area > 0: 91 | shape['points'].reverse() 92 | 93 | shape['area'] = abs(area) 94 | total_area += shape['area'] 95 | self.shapes.append(shape) 96 | 97 | #积木形状总面积 98 | self.shapes_total_area=total_area 99 | 100 | # 如果是一般布，需要这个尺寸 101 | #self.shapes_max_length = math.sqrt(total_area) 102 | 103 | def add_container(self, container): 104 | """加载容器 105 | 106 | Args: 107 | container (dict): 容器 108 | """ 109 | if not self.container: 110 | self.container = {} 111 | 112 | self.origin_container=container 113 | 114 | container = self.clean_polygon(container) 115 | 116 | self.container['points'] = [{'x': p[0], 'y':p[1]} for p in container] 117 | self.container['p_id'] = '-1' 118 | xbinmax = self.container['points'][0]['x'] 119 | xbinmin = self.container['points'][0]['x'] 120 | ybinmax = self.container['points'][0]['y'] 121 | ybinmin = self.container['points'][0]['y'] 122 | 123 | for point in self.container['points']: 124 | if point['x'] > xbinmax: 125 | xbinmax = point['x'] 126 | elif point['x'] < xbinmin: 127 | xbinmin = point['x'] 128 | if point['y'] > ybinmax: 129 | ybinmax = point['y'] 130 | elif point['y'] < ybinmin: 131 | ybinmin = point['y'] 132 | 133 | self.container['width'] = xbinmax - xbinmin 134 | self.container['height'] = ybinmax - ybinmin 135 | 136 | # 最小包络多边形 137 | self.container_bounds = nfp_utls.get_polygon_bounds(self.container['points']) 138 | 139 | #添加完容器后计算积木块与容器之间,积木块之间的NFP 140 | self.calculateNFP() 141 | 142 | 143 | def calculateNFP(self): 144 | """计算NFP 145 | """ 146 | #self.nfp_cache #Nest的NFP缓存 147 | nfp_pairs = [] #待计算列表 148 | new_cache = {} #NFP缓存 149 | place_list=copy.deepcopy(self.shapes) 150 | #print(place_list) 151 | 152 | for i in range(0, len(place_list)): 153 | # 容器和图形的内切多边形计算 154 | part = place_list[i] 155 | key = { 156 | 'A': '-1', 157 | 'B': str(i), #TODO:检查 应该是B在数据集中的顺序 158 | 'inside': True, 159 | 'A_rotation': 0, 160 | 'B_rotation': 0 161 | } 162 | tmp_json_key = json.dumps(key) 163 | if not tmp_json_key in self.nfp_cache: #如果不在NEST缓存中就加入待计算列表 164 | nfp_pairs.append({ 165 | 'A': self.container, 166 | 'B': part, # {'area': 169.0, 'p_id': '0', 'points': [{'x': 165, 'y': 233}, {'x': 152, 'y': 233}, {'x': 152, 'y': 220}, {'x': 165, 'y': 220}]} 167 | 'key': key 168 | }) 169 | # else: #如果在NEST缓存中,就将其提取出来放到new_cache中,等下用于替换NEST缓存,这样nest缓存中的nfp更可能用到 170 | # # 万年用不到的NEST NFP缓存就丢弃 171 | # new_cache[tmp_json_key] = self.nfp_cache[tmp_json_key] 172 | 173 | # 图形与图形之间的外切多边形计算 174 | for j in range(0, len(place_list)): 175 | placed = place_list[j] 176 | key = { 177 | 'A': str(j), 178 | 'B': str(i), 179 | 'inside': False, 180 | 'A_rotation': 0, 181 | 'B_rotation': 0 182 | } 183 | tmp_json_key = json.dumps(key) 184 | if not tmp_json_key in self.nfp_cache: 185 | nfp_pairs.append({ 186 | 'A': placed, 187 | 'B': part, 188 | 'key': key 189 | }) 190 | # else: 191 | # new_cache[tmp_json_key] = self.nfp_cache[tmp_json_key] 192 | 193 | #不删除旧NFP 194 | #self.nfp_cache = new_cache 195 | 196 | 197 | 198 | # 计算所有图形两两组合的相切多边形（NFP） 199 | # from tool.calculate_npf import NFP_Calculater 200 | # nfp_calculater=NFP_Calculater(self.config) 201 | # pair_list = [] 202 | # for pair in nfp_pairs: #计算待计算NFP 203 | # pair_list.append(nfp_calculater.process_nfp(pair)) 204 | 205 | #**********批量计算nfp***************************************************# 206 | from main import batchNFPCalculate 207 | pair_list=batchNFPCalculate(self.nWorker,nfp_pairs) 208 | #***********************************************************************# 209 | 210 | #print(pair_list) 211 | 212 | #将待计算列表计算出的nfp添加到cache中 213 | if pair_list: 214 | for i in range(0, len(pair_list)): 215 | if pair_list[i]:#{'key': pair['key'], 'value': nfp} 216 | key = json.dumps(pair_list[i]['key']) 217 | self.nfp_cache[key] = pair_list[i]['value']#{"pair['key']":nfp} 218 | 219 | #计算结束.计算结果在self.nfp_cache中 220 | #print("nfp",self.nfp_cache) 221 | #print("计算NFP结束") 222 | #向子线程发送缓存和容器 223 | from main import batchSendContainerAndNFPCache 224 | batchSendContainerAndNFPCache(self.nWorker,self.container,self.nfp_cache) 225 | 226 | def polygon_offset(self, polygon, offset): 227 | """偏移多边形 228 | 229 | Args: 230 | polygon (list): 多边形 231 | offset ([type]): 偏移量 232 | 233 | Returns: 234 | list: 偏移后的图形 235 | """ 236 | is_list = True 237 | if isinstance(polygon[0], dict): 238 | polygon = [[p['x'], p['y']] for p in polygon] 239 | is_list = False 240 | 241 | miter_limit = 2 242 | co = pyclipper.PyclipperOffset(miter_limit, self.config['curveTolerance']) 243 | co.AddPath(polygon, pyclipper.JT_ROUND, pyclipper.ET_CLOSEDPOLYGON) 244 | result = co.Execute(1*offset) 245 | if not is_list: 246 | result = [{'x': p[0], 'y':p[1]} for p in result[0]] 247 | return result 248 | 249 | def clear(self): 250 | """从打包模块中清除所有多边形 251 | """ 252 | self.shapes = None 253 | 254 | def run(self): 255 | """ 256 | 运行打包操作 257 | 如果开多线程，可以在这里设计检查中断信号 258 | """ 259 | 260 | if self.GA is None: 261 | faces = list() 262 | for i in range(0, len(self.shapes)): 263 | shape = copy.deepcopy(self.shapes[i]) 264 | shape['points'] = self.polygon_offset(shape['points'], self.config['spacing']) 265 | faces.append([str(i), shape]) 266 | 267 | # 按面积排序 268 | faces = sorted(faces, reverse=True, key=lambda face: face[1]['area']) 269 | 270 | #TODO:施工 271 | #按复杂度分类,重新排 272 | if settings.COMPLEX_FIRST_STRATEGY: 273 | do1=True 274 | do2=False 275 | do3=False 276 | elif settings.COMPLEX_FIRST_AREA_SECOND_STRATEGY: 277 | do1=True 278 | do2=True 279 | do3=False 280 | elif settings.MIXED_COMPLEX_STRATEGY: 281 | do1=True 282 | do2=False 283 | do3=True 284 | if do1: 285 | list_Dio=[] 286 | list_L=[] 287 | list_Square=[] 288 | for item in faces: 289 | if len(item[1]["points"])>6: 290 | list_Dio.append(item) 291 | elif len(item[1]["points"])==6: 292 | list_L.append(item) 293 | else: 294 | list_Square.append(item) 295 | if do2: 296 | percent=0.9 297 | BigDio=list_Dio[0:int(len(list_Dio)*percent)] 298 | SmallDio=list_Dio[int(len(list_Dio)*percent):] 299 | BigL=list_L[0:int(len(list_L)*percent)] 300 | SmallL=list_L[int(len(list_L)*percent):] 301 | BigS=list_Square[0:int(len(list_Square)*percent)] 302 | SmallS=list_Square[int(len(list_Square)*percent):] 303 | faces=BigDio+BigL+BigS+SmallDio+SmallL+SmallS 304 | elif do3: 305 | percent=0.5 306 | SmallS=list_Square[int(len(list_Square)*percent):] 307 | BigS=list_Square[0:int(len(list_Square)*percent)] 308 | Mixed=list_Dio+list_L+BigS 309 | Mixed=sorted(Mixed, reverse=True, key=lambda Mixed: Mixed[1]['area']) 310 | print(Mixed) 311 | print("****") 312 | print(SmallS) 313 | faces=Mixed+SmallS 314 | else: 315 | faces=list_Dio+list_L+list_Square 316 | self.launch_workers(faces) 317 | else: 318 | self.launch_workers() 319 | 320 | def launch_workers(self, adam=None): 321 | """ 322 | 主过程，根据生成的基因组，求适应值，找最佳结果 323 | 324 | Args: 325 | adam (list, optional): 初始个体. Defaults to None. 326 | """ 327 | if self.GA is None: 328 | offset_bin = copy.deepcopy(self.container) 329 | offset_bin['points'] = self.polygon_offset(self.container['points'], self.config['spacing']) 330 | self.GA = genetic_algorithm(adam, offset_bin, self.config) 331 | else: 332 | self.GA.generation() 333 | 334 | # 计算每一组基因的适应值 335 | # for i in range(0, self.GA.config['populationSize']): 336 | # res = self.find_fitness(self.GA.population[i]) 337 | # self.GA.population[i]['fitness'] = res['fitness'] 338 | # self.results.append(res) 339 | 340 | from main import batchMpiEval 341 | self.results=batchMpiEval(self.nWorker,self.GA.population) 342 | for i in range(0, self.GA.config['populationSize']): 343 | self.GA.population[i]['fitness'] = self.results[i]['fitness'] 344 | 345 | # 找最佳结果 346 | if len(self.results) > 0: 347 | best_result = self.results[0] 348 | 349 | for p in self.results: 350 | if p['fitness'] < best_result['fitness']: 351 | best_result = p 352 | 353 | if self.best is None or best_result['fitness'] < self.best['fitness']: 354 | self.best = best_result 355 | 356 | #self.results [{'placements': all_placements, 'fitness': fitness,'min_width':min_width, 'paths': paths, 'area': bin_area}] 357 | #精英 self.best 358 | #print(self.best) 359 | 360 | def clean_polygon(self, polygon): 361 | """清多边形 362 | 363 | Args: 364 | polygon ([type]): [description] 365 | 366 | Returns: 367 | [type]: [description] 368 | """ 369 | simple = pyclipper.SimplifyPolygon(polygon, pyclipper.PFT_NONZERO) 370 | 371 | if simple is None or len(simple) == 0: 372 | return None 373 | 374 | biggest = simple[0] 375 | biggest_area = pyclipper.Area(biggest) 376 | for i in range(1, len(simple)): 377 | area = abs(pyclipper.Area(simple[i])) 378 | if area > biggest_area: 379 | biggest = simple[i] 380 | biggest_area = area 381 | 382 | clean = pyclipper.CleanPolygon(biggest, self.config['curveTolerance']) 383 | if clean is None or len(clean) == 0: 384 | return None 385 | return clean 386 | 387 | 388 | from tools.calculate_npf import NFP_Calculater 389 | def find_fitness(individual,container,nfp_cache): 390 | """ 391 | 求解适应值 392 | 393 | Args: 394 | individual (dict): 个体 395 | container (dict): 容器 396 | nfp_cache (dict): nfp缓存 397 | 398 | Returns: 399 | dict: 评估结果 400 | """ 401 | place_list = copy.deepcopy(individual['placement']) 402 | rotations = copy.deepcopy(individual['rotation']) 403 | ids = [p[0] for p in place_list] 404 | 405 | for i in range(0, len(place_list)): 406 | place_list[i].append(rotations[i]) 407 | 408 | 409 | nfp_pairs = list() 410 | for i in range(0, len(place_list)): 411 | # 容器和图形的内切多边形计算 412 | part = place_list[i] 413 | key = { 414 | 'A': '-1', 415 | 'B': part[0], 416 | 'inside': True, 417 | 'A_rotation': 0, 418 | 'B_rotation': rotations[i] 419 | } 420 | 421 | tmp_json_key = json.dumps(key) 422 | if not tmp_json_key in nfp_cache: 423 | nfp_pairs.append({ 424 | 'A': container, 425 | 'B': part[1], 426 | 'key': key 427 | }) 428 | 429 | 430 | # 图形与图形之间的外切多边形计算 431 | for j in range(0, i): 432 | placed = place_list[j] 433 | key = { 434 | 'A': placed[0], 435 | 'B': part[0], 436 | 'inside': False, 437 | 'A_rotation': rotations[j], 438 | 'B_rotation': rotations[i] 439 | } 440 | tmp_json_key = json.dumps(key) 441 | if not tmp_json_key in nfp_cache: 442 | nfp_pairs.append({ 443 | 'A': placed[1], 444 | 'B': part[1], 445 | 'key': key 446 | }) 447 | pair_list = list() 448 | for pair in nfp_pairs: 449 | pair_list.append(NFP_Calculater.process_nfp(pair)) 450 | if pair_list: 451 | for i in range(0, len(pair_list)): 452 | if pair_list[i]:#{'key': pair['key'], 'value': nfp} 453 | key = json.dumps(pair_list[i]['key']) 454 | nfp_cache[key] = pair_list[i]['value']#{"pair['key']":nfp} 455 | 456 | worker = placement_worker.PlacementWorker( 457 | container, place_list, ids, rotations, ThisClass.config, nfp_cache) 458 | result=worker.place_paths() 459 | return result 460 | 461 | def draw_result(shift_data, polygons,polygons_str, bin_polygon, bin_bounds,file_path,file_id): 462 | """从结果中得到平移旋转的数据，把原始图像移到到目标地方，然后保存结果 463 | """ 464 | def myrotate_polygon(contour, angle): 465 | rotated = [] 466 | #angle = angle * math.pi / 180 467 | if angle==0: 468 | cosangle=1 469 | sinangle=0 470 | elif angle==90: 471 | cosangle=0 472 | sinangle=1 473 | elif angle==180: 474 | cosangle=-1 475 | sinangle=0 476 | elif angle==270: 477 | cosangle=0 478 | sinangle=-1 479 | for x,y in contour: 480 | rotated.append([ 481 | x *cosangle - y * sinangle, 482 | x * sinangle + y *cosangle 483 | ]) 484 | return Polygon(rotated) 485 | 486 | # 生产多边形类 487 | #print(polygons) 488 | shapes = list() 489 | for polygon in polygons: 490 | contour = [[p['x'], p['y']] for p in polygon['points']] 491 | shapes.append(Polygon(contour)) 492 | 493 | bin_shape = Polygon([[p['x'], p['y']] for p in bin_polygon['points']]) 494 | 495 | shape_area = bin_shape.area(0) 496 | 497 | solution = list() 498 | rates = list() 499 | #loops=1 500 | #print(shift_data) 501 | shapes_before=copy.deepcopy(shapes) 502 | for s_data in shift_data: 503 | #print(loops) 504 | #loops=loops+1 505 | # 一个循环代表一个容器的排版 506 | tmp_bin = list() 507 | total_area = 0.0 508 | for move_step in s_data: 509 | if move_step['rotation'] > 0:#改为大于0 510 | # 坐标原点旋转 511 | #print("before",[p for p in shapes[int(move_step['p_id'])].contour(0)]) 512 | #shapes[int(move_step['p_id'])].rotate(math.pi / 180 * move_step['rotation'], 0, 0) 513 | shapes[int(move_step['p_id'])]= myrotate_polygon(shapes[int(move_step['p_id'])].contour(0),move_step['rotation']) 514 | #print("after",[p for p in shapes[int(move_step['p_id'])].contour(0)]) 515 | #shapes[int(move_step['p_id'])]= shapes[int(move_step['p_id'])] 516 | # 平移 517 | shapes[int(move_step['p_id'])].shift(move_step['x'], move_step['y']) 518 | tmp_bin.append(shapes[int(move_step['p_id'])]) 519 | total_area += shapes[int(move_step['p_id'])].area(0) 520 | #print("total_area",total_area) 521 | # 当前排版总面积 522 | rates.append(total_area) 523 | solution.append(tmp_bin) 524 | # 显示结果 525 | idx=0 526 | myresult="" 527 | max_x=0 528 | max_y=0 529 | while(idxmax_x:max_x=x 537 | if y>max_y:max_y=y 538 | outpolygon=outpolygon+"({x},{y})".format(x=x/settings.SCALE,y=y/settings.SCALE) 539 | text=\ 540 | """In Polygon: 541 | {inpolygon} 542 | Out Polygon: 543 | {outpolygon}\n""".format(inpolygon=inpolygon,outpolygon=outpolygon) 544 | myresult=myresult+text 545 | idx=idx+1 546 | myresult=myresult.rstrip("\n") 547 | result_file=file_path+"/result_"+file_id+".txt" 548 | # import os 549 | # if os.path.exists(file_path+"/result.txt"): 550 | # i=1 551 | # flag=1 552 | # while flag: 553 | # if os.path.exists(file_path+"/result_"+str(i)+".txt"): 554 | # i=i+1 555 | # continue 556 | # result_file=file_path+"/result_"+str(i)+".txt" 557 | # flag=0 558 | with open(result_file,"w")as file_hand: 559 | file_hand.write(myresult) 560 | if settings.DEBUG: 561 | print("polygon total area:",rates[-1]/(settings.SCALE*settings.SCALE)) 562 | print("bin:",max_x/10,max_y/10) 563 | print("occupation:",rates[-1]/(max_x*max_y)) 564 | if settings.DRAWPIC: 565 | draw_polygon(solution, rates, bin_bounds, bin_shape,max_x,max_y,rates[-1]/(max_x*max_y)) 566 | 567 | 568 | def draw_polygon(solution, rates, bin_bounds, bin_shape,packed_x,packed_y,occupation): 569 | """绘制多边形 570 | 571 | Args: 572 | solution (dict): 解决方案 573 | rates (list): rates 574 | bin_bounds (dict): 容器边界 575 | bin_shape (dict): 容器 576 | packed_x (float): 打包后最大的x 577 | packed_y (float): 打包后最大的y 578 | occupation (float): 占用率 579 | """ 580 | import matplotlib.pyplot as plt 581 | import matplotlib.patches as patches 582 | base_width = 8 583 | base_height = base_width * bin_bounds['height'] / bin_bounds['width'] 584 | num_bin = len(solution) 585 | fig_height = num_bin * base_height 586 | # fig1 = Figure(figsize=(base_width, fig_height)) 587 | # FigureCanvas(fig1) 588 | fig1 = plt.figure(figsize=(base_width, fig_height)) 589 | fig1.suptitle('Polygon packing', fontweight='bold') 590 | 591 | i_pic = 1 # 记录图片的索引 592 | for shapes in solution: 593 | # 坐标设置 594 | ax = plt.subplot(num_bin, 1, i_pic, aspect='equal') 595 | # ax = fig1.set_subplot(num_bin, 1, i_pic, aspect='equal') 596 | #ax.set_title('Num %d bin, rate is %0.4f' % (i_pic, rates[i_pic-1])) 597 | ax.set_title('%0.4f,%0.4f,%0.4f'%(packed_x,packed_y,occupation)) 598 | i_pic += 1 599 | ax.set_xlim(bin_bounds['x'] - 10, bin_bounds['width'] + 50) 600 | ax.set_ylim(bin_bounds['y'] - 10, bin_bounds['height'] + 50) 601 | 602 | output_obj = list() 603 | output_obj.append(patches.Polygon(bin_shape.contour(0),fc="white")) 604 | output_obj.append(patches.Polygon([(0,0),(packed_x,0),(packed_x,packed_y),(0,packed_y)],lw=1,edgecolor='m')) 605 | #output_obj.append(patches.Polygon(bin_shape.contour(0), fc='green')) 606 | for s in shapes: 607 | color=[random.random(),random.random(),random.random()] 608 | output_obj.append(patches.Polygon(s.contour(0),color=color,alpha=0.5)) 609 | 610 | #output_obj.append(patches.Polygon(s.contour(0), fc='yellow', lw=1, edgecolor='m')) 611 | for p in output_obj: 612 | ax.add_patch(p) 613 | plt.show() 614 | # fig1.save() 615 | 616 | def content_loop_rate(best, n,file_path,file_id, loop_time=20,height=100): 617 | """固定迭代次数 618 | 619 | Args: 620 | best (dict): 最优良的个体 621 | n (NEST): 打包者 622 | file_path (str): 保存路径 623 | file_id (str): 文件id 624 | loop_time (int, optional): 迭代次数. Defaults to 20. 625 | height (int, optional): 默认高度. Defaults to 100. 626 | """ 627 | print("STOP_GENERATION",settings.STOP_GENERATION) 628 | res = best 629 | run_time = loop_time 630 | loops=1 631 | if settings.DEBUG: 632 | import time 633 | current_time=time.time() 634 | last_time=current_time 635 | generation_time=[] 636 | best_fitness_for_all_generation=[] 637 | best_fitness_for_current_generation=[] 638 | square_like_for_all_generation=[] 639 | square_like_for_current_generation=[] 640 | while run_time: 641 | #print("content_loop_rate",loops) 642 | loops=loops+1 643 | n.run() 644 | best = n.best 645 | #print (best['fitness']) 646 | if best['fitness'] <= res['fitness']: 647 | res = best 648 | #print ('change', res['fitness']) 649 | 650 | #################各代个体的评估结果############################ 651 | #self.results [{'placements': all_placements, 'fitness': fitness,'min_width':min_width, 'paths': paths, 'area': bin_area}] 652 | #精英 self.best 653 | if settings.DEBUG: 654 | current_time=time.time() 655 | generation_time.append(10*(current_time-last_time)) 656 | last_time=current_time 657 | best_fitness_for_all_generation.append(res['fitness']) 658 | best_fitness_for_current_generation.append(best['fitness']) 659 | square_like_for_all_generation.append(res['min_width']/height) 660 | square_like_for_current_generation.append(best['min_width']/height) 661 | #################################################### 662 | 663 | run_time -= 1 664 | 665 | #TODO:改 666 | if n.shapes_total_area/(best['min_width']*settings.BIN_NORMAL[2][1])>settings.SMALLCASE_EXPECTATION: 667 | #print("***",n.shapes_total_area/(best['min_width']*settings.BIN_NORMAL[2][1])) 668 | #print(n.shapes_total_area,best['min_width'],settings.BIN_NORMAL[2][1]) 669 | run_time=False 670 | 671 | if settings.DEBUG: 672 | print("best_fitness_for_all_generation",best_fitness_for_all_generation) 673 | if settings.DRAWPIC: 674 | from matplotlib import pyplot as plt 675 | from matplotlib.pyplot import MultipleLocator 676 | 677 | x = range(1,len(best_fitness_for_all_generation)+1) 678 | 679 | plt.grid(axis='x',color='0.95') 680 | plt.step(x,best_fitness_for_all_generation, label="best_fitness_for_all_generation",color='red',marker='^') 681 | plt.step(x,best_fitness_for_current_generation, label="best_fitness_for_current_generation",color='blue') 682 | plt.xlabel('generation') 683 | plt.ylabel('fitness',color='b') 684 | #ax.legend() 685 | #x_major_locator=MultipleLocator(1) 686 | #ax.xaxis.set_major_locator(x_major_locator) #设置x轴尺度 687 | 688 | plt.figure(2) 689 | plt.step(x,square_like_for_all_generation, label="square_like_for_all_generation",linestyle="--",color='red',marker='^') 690 | plt.step(x,square_like_for_current_generation, label="square_like_for_current_generation",linestyle="--",color='blue') 691 | plt.xlabel('generation') 692 | plt.ylabel('square_like',color='r') 693 | plt.title('Sample Run') 694 | 695 | plt.figure(3) 696 | plt.bar(x, generation_time, color='rgb', tick_label=x) 697 | 698 | draw_result(res['placements'], n.shapes,n.originalshapes, n.container, n.container_bounds,file_path,file_id) 699 | 700 | -------------------------------------------------------------------------------- /data/polygon_area_etc_input_11.txt: -------------------------------------------------------------------------------- 1 | Polygon: 2 | (123,324)(123,315)(121,315)(121,322)(114,322)(114,324) 3 | Polygon: 4 | (171,125)(181,125)(181,134)(171,134) 5 | Polygon: 6 | (152,315)(160,315)(160,317)(153,317)(153,325)(152,325) 7 | Polygon: 8 | (181,296)(171,296)(171,305)(181,305) 9 | Polygon: 10 | (141,145)(141,148)(133,148)(133,145)(136,145)(136,144)(137,144)(137,145) 11 | Polygon: 12 | (99,258)(95,258)(95,265)(99,265) 13 | Polygon: 14 | (191,277)(191,281)(190,281)(190,277) 15 | Polygon: 16 | (76,324)(76,315)(84,315)(84,324) 17 | Polygon: 18 | (12,277)(16,277)(16,294)(0,294)(0,290)(12,290) 19 | Polygon: 20 | (220,163)(220,168)(209,168)(209,163) 21 | Polygon: 22 | 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