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基于遗传算法的矩形件排样问题求解
引用本文:宋雪枫,陈江义,张明伟.基于遗传算法的矩形件排样问题求解[J].煤矿机械,2011,32(5):119-121.
作者姓名:宋雪枫  陈江义  张明伟
作者单位:郑州大学,机械工程学院,郑州450001
基金项目:河南省基础研究计划项目,河南省教育厅自然科学基金子课题
摘    要:在分析了常用矩形件优化排样算法的基础上,提出了一种新的改进算法,在排样过程中加入旋转策略和改进了的向后搜索方案。将此算法作为一种解码方法,与遗传算法相结合来求解矩形件排样问题。算例表明了该算法能达到更好的排样效果。

关 键 词:矩形件排样  遗传算法  改进算法

Solving Rectangular Packing Problem Based on Genetic Algorithm
SONG Xue-feng,CHEN Jiang-yi,ZHANG Ming-wei.Solving Rectangular Packing Problem Based on Genetic Algorithm[J].Coal Mine Machinery,2011,32(5):119-121.
Authors:SONG Xue-feng  CHEN Jiang-yi  ZHANG Ming-wei
Affiliation:(School of Mechanical Engineering,Zhengzhou University,Zhengzhou 450001,China)
Abstract:On the basis of analysing mainly algorithm for rectangular packing problem,an improved algorithm is proposed.The improved algorithm adds rotating strategy and searthing straegy,and it changes the searching solution.As a decoder method,the improved algorithm is combined with genetic algorithm to solve the packing problem.The results of examples show that the better packing pattern can be produced by the improved algorithm.
Keywords:rectangular packing  genetic algorithm  improved algorithm
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