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基于改进遗传算法的单级多项目无能力约束生产批量问题研究
引用本文:易成林,王美娟,李静.基于改进遗传算法的单级多项目无能力约束生产批量问题研究[J].上海理工大学学报(社会科学版),2005,27(3):244-248.
作者姓名:易成林  王美娟  李静
作者单位:[1]上海理工大学管理学院,上海200093 [2]上海理工大学理学院,上海200093
摘    要:通过对单级多项目无能力约束生产批量问题(SMULP)模型进行分析,得出了一些重要的结论.分析了基本遗传算法的缺陷及其产生的原因.对该问题在遗传算法的编码、适应度函数、选择复制操作、交叉方法、交叉概率、变异概率和终止条件等各个环节进行了改进.采用VB6.0对SMULP改进遗传算法编程实现,能很好地与ERP软件集成.并对SMULP改进遗传算法进行了性能分析.

关 键 词:生产批量  改进遗传算法  编码  适应度

Study on improved genetic algorithms approach applied to single-level and multiple-item uncapacitated lot-sizing problem
YI Cheng-lin,WANG Mei-juan,LI Jing.Study on improved genetic algorithms approach applied to single-level and multiple-item uncapacitated lot-sizing problem[J].Journal of University of Shanghai For Science and Technilogy(Social Science),2005,27(3):244-248.
Authors:YI Cheng-lin  WANG Mei-juan  LI Jing
Institution:YI Cheng-lin~,WANG Mei-juan~,LI Jing~
Abstract:By visiting some of the universities in shanghai and surveying their students' after-school PE activity management, I get to know that the physical function department lacks the necessary management, guidance and organization to the students' attending of afer-school PE activity. Therefore I' ve designed a set of management mode for the university students' after-school PE activities in order to provide the theoretical reference for the scientific management of the university after-school PE activities.
Keywords:production lotsizing  improved genetic algorithms  code  fitness
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