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型材优化下料的混合遗传算法
引用本文:李培勇,王全华,裘泳铭.型材优化下料的混合遗传算法[J].上海交通大学学报,2001,35(10):1557-1560.
作者姓名:李培勇  王全华  裘泳铭
作者单位:1. 上海交通大学船舶与海洋工程学院,
2. 武汉南华高速船舶工程有限公司,
摘    要:在传统遗传算法的基础上,引入FFD、BF近似算法的思想,建立了该类问题的求解算法模型,对求解过程进行了分析,并给出了一个钢结构项目的下料算例。实际使用表明,该方法的效果是令人满意的。

关 键 词:型材下料  优化  混合遗传算法  船舶
文章编号:1006-2467(2001)10-1557-04
修稿时间:2000年11月13

Optimization for One-Dimensional Cutting UsingHybrid Genetic Algorithm
LI Pei-yong ,WANG Quan-hua ,QIU Yong-ming.Optimization for One-Dimensional Cutting UsingHybrid Genetic Algorithm[J].Journal of Shanghai Jiaotong University,2001,35(10):1557-1560.
Authors:LI Pei-yong  WANG Quan-hua  QIU Yong-ming
Institution:LI Pei-yong 1,WANG Quan-hua 2,QIU Yong-ming 1
Abstract:The efficiency of one-dimensional cutting problems, such as angle iron cutting, is of great practical significance to many industries. This paper presented a solution which is based on genetic algorithm that hybridizes with the FFD and BF algorithms to a strip cutting optimization problem. The algorithm was described in detail. The computer program was developed based on the proposed algorithm. One example for a steel structure was presented and solved. The result is satisfactory that the overall raw material needed by all cuts is minimized.
Keywords:cutting  optimization  hybrid genetic algorithm
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