Description: 遗传算法解决复杂背包问题，用Java编写。
该背包拥有3个属性，500个东西，50个包。
求解包与包之间物品重量差最小，并且同一个背包的物品属性有特殊要求。
该程序容易修改。-Genetic Algorithm on Bin Packing Proglem.
500 items, 3 parameters of each item.
50 containers, target: All 50 containers has the smallest weight differences.
Item type i and type i++ can not be put into same container. Platform: |
Size: 160768 |
Author:mark |
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Description: 矩形条带装箱问题(RSPP)是指将一组矩形装入在一个宽度固定高度不限的矩形容器中，以期
获得最小装箱高度．RSPP理论上属于NP难问题，在新闻组版、布料下料以及金属切割等工业领域中
有着广泛的应用．为解决该问题，采用了一种混合算法，即将一种新的启发式算法—— 动态匹配算
法—— 与遗传算法结合起来．混合算法中，动态匹配算法能根据4类启发式规则动态选择与装填区域相
匹配的下一个待装矩形，同时将装箱后所需容器高度用遗传算法的进化策略进行优化．对2组标准测试
问题的计算结果表明，相对于文献中的已有算法，提出的算法更加有效．-Given a set of small rectangular pieces of different sizes and a rectangular container of fixed
width and infinite length，the rectangular strip packing problem (RSPP) consists of orthogonally
placing all the pieces within the container，without overlapping，such that the overall length of the
packing is minimized． RSPP belongs to NP—hard problem in theory and has many industrial
applications such as the composition of news，the cutting of elothing and the cutting of metal，etc．To
solve the rectangular strip packing problem ，a hybrid algorithm ，which combines a novel heuristic
algorithm- dynamic—fit heuristic algorithm (DFHA)，with the genetic algorithm，is adopted． The
DFHA algorithm can dynamically select the better-fit rectangle for packing，according to the width—fit
first(W FF)rule，the height—fit first(HFF) rule，the placeable first(PF) rule，and the biggest—
rectangle first(BRF)rule，and the evolutionary capability of genetic algorithm is used to optimize the
height of the packing Platform: |
Size: 477184 |
Author:郭事业 |
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Description: 用免疫遗传算法解决装箱问题
只考虑体积和质量-With immune genetic algorithm to solve the problem only consider packing volume and mass Platform: |
Size: 3072 |
Author:qiangge |
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Description: it is a matlab code for bin-packing problem
this problem solved with genetic algorithm
output is very beautiful Platform: |
Size: 9216 |
Author:sadegh |
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Description: 这是一个可以完成装箱问题的遗传算法，很容易移植到各个地方。(This is a genetic algorithm that can complete the bin packing problem. It is easy to transplant to various places.) Platform: |
Size: 3072 |
Author:lyb番茄 |
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Description: 二维装箱文献
二维一刀切装箱问题的两阶段启发式算法_曹大勇
二维装箱问题的非线性优化方法_于洪霞
二维装箱问题的启发式算法研究_刘艳娟
二维装箱问题的启发式算法研究_姚怡
二维装箱问题的一种实现方法_武晓今
二维装箱问题非线性规划模型和算法_于洪霞
基于混合蚂蚁算法的二维装箱问题求解_赵中凯
遗传算法在装箱问题中的应用_汤岩(Two dimensional boxing literature
Two stage heuristic algorithm for two dimensional one size fits all bin packing problem Cao Dayong
Nonlinear optimization method for two-dimensional bin packing problem Yu Hongxia
Heuristic algorithm for two-dimensional bin packing problem Liu Yanjuan
Heuristic algorithm for two-dimensional bin packing problem Yao Yi
An implementation method of two dimensional bin packing problem Wu Xiaojin
Nonlinear programming model and algorithm for two-dimensional bin packing problem Yu Hongxia
Solving two dimensional bin packing problem based on hybrid ant algorithm Zhao Zhongkai
Application of genetic algorithm in bin packing problem Tang Yan) Platform: |
Size: 21130240 |
Author:seeyouagainmyworld |
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Search - genetic algorithm packing