首页> 外文会议>Conference on artificial intelligence for applications >Job sequencing with quadratic penalties: An A*-based graph search approach
【24h】

Job sequencing with quadratic penalties: An A*-based graph search approach

机译:具有二次惩罚的作业排序:一个*基于图形搜索方法

获取原文

摘要

The authors tried to establish that A* is much better than traditional branch-and-bound procedures at solving certain types of minimum-penalty job-sequencing problems. Townsend's algorithm (1976) for minimum-penalty job sequencing on one machine with quadratic penalties was implemented both as tree search and as a graph-based A* formation that uses Townsend's lower bounds at nodes as heuristic estimates. The graph implementation took much less time to run, and problem instances of much larger size could be solved. The approach seems to be particularly suitable for sequencing and other optimization problems where lower bounds at nodes can be determined without excessive computational effort.
机译:作者试图确定a *比在解决某些类型的最小惩罚职位测序问题上的传统分支和束缚程序更好。 Townsend的算法(1976)对于一台机器上的最小惩罚作业测序,以二次惩罚实现为树搜索,作为基于图形的A *形成,它在节点处使用Townsend的下限作为启发式估计。图形实现需要更少的时间运行,并且可以解决更大尺寸的问题实例。该方法似乎特别适用于测序和其他优化问题,其中可以在没有过度计算工作的情况下确定节点处的下限。

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