首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Modelling of job-shop scheduling with multiple quantitative and qualitative objectives and a GA/TS mixture approach
【24h】

Modelling of job-shop scheduling with multiple quantitative and qualitative objectives and a GA/TS mixture approach

机译:具有多个定量和定性目标以及GA / TS混合方法的作业车间调度建模

获取原文
获取原文并翻译 | 示例
           

摘要

In this research, an integrated approach to modelling the job shop scheduling problems, along with a genetic algorithm/tabu search mixture solution approach, is proposed. The multiple objective functions modelled include both multiple quantitative (time and production) and multiple qualitative (marketing) objectives. In addition, realistic issues, such as the uncertainty aspect, rescheduling, relative importance of criteria, and alternative process plans with the GA/TS approach, are also modelled within the framework of the multi-objective functions, with the aids of fuzzy set theory, the analytic hierarchy process, and dynamic probability distribution. The implementation of the genetic algorithm/ tabu search solution approach and the rescheduling scheme is supported and demonstrated by illustrative examples and computational results by this approach.
机译:在这项研究中,提出了一种用于建模车间调度问题的集成方法,以及一种遗传算法/ tabu搜索混合解决方案方法。建模的多个目标功能包括多个定量(时间和生产)和多个定性(营销)目标。此外,还利用模糊集理论在多目标函数的框架内对现实问题进行了建模,例如不确定性方面,重新计划,标准的相对重要性以及采用GA / TS方法的替代过程计划。 ,层次分析法和动态概率分布。遗传算法/禁忌搜索解决方案方法和重新计划方案的实现通过该方法的说明性示例和计算结果得到支持和证明。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号