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基于SLP方法的遗传算法在多目标布置设计中的应用
引用本文:张泳,赵建民,朱信忠,徐慧英. 基于SLP方法的遗传算法在多目标布置设计中的应用[J]. 计算机时代, 2010, 0(5): 1-3,7
作者姓名:张泳  赵建民  朱信忠  徐慧英
作者单位:浙江师范大学数理与信息工程学院,浙江,金华,321004
基金项目:浙江省科技计划项目(2008C11106-2)
摘    要:在物流布置设计中,综合考虑了生产成本及作业单位之间关系的密切度等因素,在SLP方法的基础上引进多目标适值函数,提出了多目标布置设计的概念。采用Goldberg和Lingle提出的部分映射交叉方式(PMX)和互换变异相结合的遗传算法来求解具体的布置设计方案。通过实例验证了该算法的可行性。最后利用数值分析讨论了遗传算法在相应应用中的灵敏度及效果。

关 键 词:现代物流  多目标布置设计  目标函数  遗传算法

Application of Genetic Algorithm Based on SLP Method in Multi-objective Layout Planning
ZHANG Yong,ZHAO Jian-min,ZHU Xin-zhong,XU Hui-ying. Application of Genetic Algorithm Based on SLP Method in Multi-objective Layout Planning[J]. Computer Era, 2010, 0(5): 1-3,7
Authors:ZHANG Yong  ZHAO Jian-min  ZHU Xin-zhong  XU Hui-ying
Affiliation:College of Mathematics Physics and Information Engineering/a>;Zhejiang Normal University/a>;Jinhua/a>;Zhejiang 321004/a>;China
Abstract:Comprehensively considering the factors such as production cost and close degree of relationship between operation departments in logistics layout planning,the multi-objective fitness function is introduced on the basis of SLP method and the idea of multi-objective layout planning is presented.The genetic algorithm (GA) which combines partially mapped crossover (PMX) and mutual transformation advanced by Goldberg and Lingle is used to solve specific layout planning.The feasibility of the algorithm is verifi...
Keywords:modern logistics  multi-objective layout planning  objective function  GA  
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