首页> 外文会议>International Conference on Advances in Natural Computation >Hybrid Genetic Algorithm for the Flexible Job-Shop Problem Under Maintenance Constraints
【24h】

Hybrid Genetic Algorithm for the Flexible Job-Shop Problem Under Maintenance Constraints

机译:维护限制下灵活作业店问题的混合遗传算法

获取原文

摘要

Most scheduling literature assumes that machines are available at all times. In this paper, we study the flexible Job-shop scheduling problem where the machine maintenance has to be performed within certain intervals and hence the machine becomes unavailable during the maintenance periods. We propose an assignment technique based successively on the use of different priority rules and a local search procedure. An adequate criteria is developed to evaluate the quality of the assignment. The sequencing problem is solved by a hybrid genetic algorithm which takes into account the constraint of availability periods.
机译:大多数调度文献假设机器始终可用。在本文中,我们研究了必须在某些间隔内执行机器维护的灵活作业商店调度问题,因此在维护期间机器变得不可用。我们在使用不同优先级规则和本地搜索过程的使用时提出了一种基于分配技术。开发了足够的标准来评估任务的质量。序列问题通过混合遗传算法解决,该遗传算法考虑了可用性周期的约束。

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