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考虑多目标的工艺规划与调度集成问题研究
引用本文:李言,巴黎,曹源,刘永,杨明顺.考虑多目标的工艺规划与调度集成问题研究[J].中国机械工程,2015,26(17):2344.
作者姓名:李言  巴黎  曹源  刘永  杨明顺
作者单位:西安理工大学,西安,710048
基金项目:国家自然科学基金资助项目(61402361);陕西省教育厅科学研究计划资助项目(14JK1521);陕西省科学技术研究发展计划资助项目(2012KJXX-34);西安理工大学青年科技创新团队建设计划资助项目(102-211408)
摘    要:针对工艺规划与调度集成问题在多目标优化方面的不足,考虑将多目标优化集成到工艺规划与调度集成问题中。以最长完工时间、加工成本及设备最大负载为优化目标,对该多目标工艺规划与调度集成问题进行建模,并提出了一种非支配排序遗传算法,鉴于加工信息的多样性,使用多层结构表示可行解,对该算法的选择及遗传操作等步骤进行了设计。最后,以实例验证了上述模型的正确性及算法的有效性。

关 键 词:工艺规划与调度集成  多目标  非支配排序遗传算法  选择操作  

Research on Integrated Process Planning and Scheduling Problem with Consideration of Multi-objectives
Li Yan,Ba Li,Cao Yuan,Liu Yong,Yang Mingshun.Research on Integrated Process Planning and Scheduling Problem with Consideration of Multi-objectives[J].China Mechanical Engineering,2015,26(17):2344.
Authors:Li Yan  Ba Li  Cao Yuan  Liu Yong  Yang Mingshun
Affiliation:Xi'an University of Technology,Xi'an,710048
Abstract:Aiming at the shortage of IPPS problem in multi-objective optimization, multi-objective optimization was integrated into IPPS problem. The makespan, processing cost and maximum machine workload were the main targets which will be optimized. The model was built for multi-objective integrated process planning and scheduling problem. A non-dominated sorting genetic algorithm (NSGA-Ⅱ) was proposed for the problem. A multi-layer structure was used to represent solutions. Selection and genetic operators are designed in the algorithm. Finally, the model and algorithm were proved through an application case.
Keywords:integrated process planning and scheduling  multi-objectives  non-dominated sorting genetic algorithm  selection  
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