期刊文献+

基于遗传算法的可变机器约束模糊作业调度

Genetic algorithm for fuzzy job scheduling with alternative machines
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摘要 对同时考虑模糊加工时间和模糊交货期,以及工件的某道工序有多台机器可供选择的模糊作业车间调度问题进行了研究,在Giffler&Thompson算法的基础上引入了基于优先规则的冲突处理方法,并且设计了相应的遗传算子,保证遗传操作后的染色体搜索空间仍然属于活动调度集,最后通过仿真实验,验证了该算法的有效性。 This paper studies the fuzzy job shop scheduling problem with fuzzy processing time and fuzzy due date,as well as specific operator of the workpiece with alternative machines.In order to solve the conflict of Giffler & Thompson algorithm,the paper introduces priority rule-based algorithm and devise the corresponding genetic operator,ensuring the Chromosome's search space belong to active schedule.Finally, the simulation results indicated validity of the method.
作者 王昱霖
出处 《计算机工程与应用》 CSCD 北大核心 2007年第28期31-33,共3页 Computer Engineering and Applications
基金 国家科技部高新技术计划项目(No.2005EJ000017) 河北省科技研究与发展计划(No.02547015D) 河北省普通高等学校博士科研资助基金(No.B2002118)。
关键词 可变机器约束 模糊加工时间 模糊交货期 遗传算法 alternative machines fuzzy processing time fuzzy due date genetic algorithm
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参考文献3

  • 1Christoph S,Thomalla.Job shop scheduling with alternative process plans[J].International Journal of Production Economics,2001,74(1):125-134.
  • 2Sakawa M,Kubota R.Fuzzy programming for-multi-objective job shop scheduling with fuzzy processing time and fuzzy due date through genetic algorithms[J].European Journal of Operational Research,2000(120):393-407.
  • 3李富明,朱云龙,尹朝万,宋晓宇.可变机器约束的模糊作业车间调度问题研究[J].计算机集成制造系统,2006,12(2):169-173. 被引量:11

二级参考文献5

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