首页> 外文会议>International conference on computational collective intelligence >A-Team Solving Distributed Resource-Constrained Multi-project Scheduling Problem
【24h】

A-Team Solving Distributed Resource-Constrained Multi-project Scheduling Problem

机译:A团队解决分布式资源受限的多项目计划问题

获取原文

摘要

In this paper a multi-agent system based on the A-Team concept is proposed to solve the distributed resource-constrained multi-project scheduling problem (DRCMPSP). The DRCMPSP belongs to the class of the strongly NP-hard optimisation problems. In the DRCMPSP multiple distributed projects are considered, hence, a coordination of the shared decisions is needed as well as the local task schedule for each project. Multi-agent systems are the natural way of solving such problems. The proposed A-Team multi-agent system has been built using the JABAT environment where two types of the optimisation agents are involved: local and global. Local agents are used to find solutions for the local projects, and global agents are responsible for coordination of the local projects and hence, for the global solution. The approach has been tested experimentally using 140 benchmark problem instances from MPSPLIB with the average project delay (APD) as optimisation criterion.
机译:为了解决分布式资源受限的多项目调度问题(DRCMPSP),提出了一种基于A-Team概念的多Agent系统。 DRCMPSP属于强NP难优化问题。在DRCMPSP中,考虑了多个分布式项目,因此,需要协调共享决策以及每个项目的本地任务计划。多主体系统是解决此类问题的自然方法。拟议的A-Team多代理系统是使用JABAT环境构建的,其中涉及两种类型的优化代理:本地和全局。本地代理用于查找本地项目的解决方案,而全球代理则负责协调本地项目,因此也负责全局解决方案。该方法已使用MPSPLIB的140个基准测试问题实例进行了实验测试,并以平均项目延迟(APD)作为优化标准。

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