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基于混合遗传算法的柔性作业车间调度研究

王小蓉 李蓓智 周亚勤 杨建国 施烁

现代制造工程Issue(5):39-42,109,5.
现代制造工程Issue(5):39-42,109,5.

基于混合遗传算法的柔性作业车间调度研究

Research on flexible job-shop scheduling problem based on hybrid genetic algorithm

王小蓉 1李蓓智 1周亚勤 1杨建国 1施烁1

作者信息

  • 1. 东华大学机械工程学院,上海201620
  • 折叠

摘要

Abstract

To solve flexible job-shop scheduling problem effectively ,a hybrid genetic algorithm ( ant colony algorithm-genetic algo-rithm) was proposed .Hierarchical approaches was used ,at first ant colony algorithm was applied to solve tackle machine assign-ment,and job-shop scheduling problem was solved by genetic algorithm .In the solution process,scheduling knowledge was learn-ed from previous optimization process and then adopted to guide the subsequent optimization process .Through the standard case experiment ,effectiveness of hybrid genetic algorithm to solve the complex flexible job-shop scheduling problem is feasible .

关键词

车间调度问题/柔性/混合遗传算法/蚁群算法

Key words

job-shop scheduling problem/flexible/hybrid genetic algorithm/ant colony algorithm

分类

信息技术与安全科学

引用本文复制引用

王小蓉,李蓓智,周亚勤,杨建国,施烁..基于混合遗传算法的柔性作业车间调度研究[J].现代制造工程,2015,(5):39-42,109,5.

基金项目

国家863高技术研究发展计划基金资助项目 ()

现代制造工程

OA北大核心CSCDCSTPCD

1671-3133

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