• 论文 •    

进化计算在生产线调度研究中的现状与展望

尹文君,刘民,吴澄   

  1. 清华大学自动化系,北京100084
  • 出版日期:2001-12-15 发布日期:2001-12-25

Currnet Staus and Prospect of Evolutionary Computation Applied to Production Scheduling

YIN Wen-jun,LIU Min,WU Cheng   

  1. Department of Automation, Tsinghua University,Beijing100084,China
  • Online:2001-12-15 Published:2001-12-25

摘要: 描述了典型生产线调度类型,并分析了其复杂性、不确定性、多目标和多约束等特点;简要介绍了进化计算的思想、优点;围绕其应用核心——遗传编码和操作,分类评述了进化计算在单机、并行机、流水线、可重入式生产线、作业和混合生产线等调度问题中的应用情况;并从调度模型和进化计算两方面探讨了面向实际生产线调度的研究前景。

关键词: 进化计算, 生产线调度, 遗传, 进化, 优化, 编码

Abstract: The typical production scheduling problems are formulated and the research difficulties such as complexity, uncertainty, multi objectives and multi constraints are analyzed. Then evolutionary computation (EC) is introduced mainly on its inspiration, virtues and implementation issues. With the focuses on genetic encoding and operators, the representative applications of EC to production scheduling problems are detailedly overviewed in such fields as single machine-, parallel machine-, flowshop-, re-entrance, jobshop-, hybrid production-scheduling and so on. The perspective of EC applied to practical scheduling problems is suggested from both scheduling model and EC theory points of view finally.

Key words: evolutionary computation, production scheduling, inherit, evolve, optimization, encoding

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