多种群变换遗传算法及其在优化调度中的应用(英文)

姚志红; 赵国文; 韩  兵

引用本文:	姚志红,赵国文,韩兵.多种群变换遗传算法及其在优化调度中的应用(英文)[J].控制理论与应用,2001,18(6):882~886.[点击复制]
	YAO Zhi-hong,ZHAO Guo-wen,HAN Bing.The Comparison of Multi-reproduction Groups of Genetic Algorithms and Its Application in the Optimization Schedule[J].Control Theory and Technology,2001,18(6):882~886.[点击复制]

多种群变换遗传算法及其在优化调度中的应用(英文)

The Comparison of Multi-reproduction Groups of Genetic Algorithms and Its Application in the Optimization Schedule

摘要点击 1342 全文点击 1302 投稿时间：1999-06-28 修订日期：2001-03-29

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DOI编号 10.7641/j.issn.1000-8152.2001.6.015

2001,18(6):882-886

中文关键词多种群变换遗传算子遗传算法混杂系统调度

英文关键词 multi_reproductions transform genetic operator genetic algorithm hybrid system schedule

基金项目

作者	单位
姚志红	上海交通大学信息与控制系, 上海 200030
赵国文	上海交通大学土木建筑系, 上海 200030
韩兵	上海交通大学自动化系, 上海 200032

中文摘要

提出了一种基于多种群思想的遗传算法, 研究了种群数目对收敛速度的影响及确定原则, 设计了适合连续离散规划问题求解的交叉与变异算子以及评价函数参数. 通过与一般遗传算法比较、统计计算及对某载重轮胎厂生产调度系统仿真, 表明该算法的收敛速度有很大提高, 并能够很好解决连续与离散状态并存和规模较大的一类混合生产过程的调度问题.

英文摘要

The comparison approach of genetic algorithms based on the multi_reproduction thinking is introduced, the judgement principle about the number of reproduction groups and its influence on the algorithm convergence speed are compared, and the genetic operator and the parameter of evaluation function that was built to slove the programming problem of hybrid system are designed. Compared with ordinary genetic algorithms, statistical calculation, and the simulation to the Shanghai Heavy Duty Tyre production process, the results of calculation indicate that this approach had a fast speed of convergence, and can optimize the production schedule of hybrid system in which there are continuous and discrete processes and it is broad in scale.