首页> 外文会议>Chinese Control and Decision Conference >A multi-agent task allocation strategy based on artificial immune system
【24h】

A multi-agent task allocation strategy based on artificial immune system

机译:基于人工免疫系统的多主体任务分配策略

获取原文

摘要

This paper focuses on the research and implement of multi-agent task allocation strategy under the circumstance of RoboCup Rescue Simulation System,especially the implement of ambulance team agent model which is one of the three important agent models.The major achievement of this paper is to propose an effective decision-making model of ambulance team agents based on artificial immune system.How to select and design affinity parameters and stimulation and suppression parameters between antigens and antibodies is performed.Experimental results show that the new task allocation strategy for the ambulance team had a substantial increase in efficiency and quality.
机译:本文着重研究和实现了在RoboCup Rescue Simulation System情况下的多Agent任务分配策略,特别是实现了作为三个重要Agent模型之一的救护车队Agent模型。提出了一种基于人工免疫系统的有效的救护队人员决策模型。对如何选择和设计抗原与抗体之间的亲和力参数以及刺激和抑制参数进行了实验。效率和质量的大幅提高。

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