首页> 外文会议>MIC;International Conference on Measurement, Information and Control >The application of Bee-Genetic Algorithm to Job-Shop Scheduling Problem
【24h】

The application of Bee-Genetic Algorithm to Job-Shop Scheduling Problem

机译:蜂遗传算法在车间调度问题中的应用

获取原文

摘要

This paper presents a method of solving Job-Shop Scheduling problem, based on the Artificially Bee Colony Algorithm and the Genetic Algorithm. By introducing the genetic operations to the Artificially Bee Colony Algorithm and making the complementary advantages, we can improve the efficiency of solving problem. Using this algorithm to solve Job-Shop Scheduling Problem, the results show that this algorithm can have good performance, and play the optimization scheduling role.
机译:本文提出了一种基于人工蜂群算法和遗传算法的车间作业调度问题求解方法。通过将遗传运算引入到人工蜂群算法中并发挥互补的优势,可以提高解决问题的效率。利用该算法解决了Job-Shop调度问题,结果表明该算法具有良好的性能,并起到了优化调度的作用。

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