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基于多agent协同跟踪调度技术研究

蔡淑娜 冉晓旻

计算机应用研究2018,Vol.35Issue(2):590-593,599,5.
计算机应用研究2018,Vol.35Issue(2):590-593,599,5.DOI:10.3969/j.issn.1001-3695.2018.02.057

基于多agent协同跟踪调度技术研究

Research on scheduling technology of cooperative tracking based on multi-agent

蔡淑娜 1冉晓旻1

作者信息

  • 1. 信息工程大学信息系统工程学院,郑州450001
  • 折叠

摘要

Abstract

Aimed to reduce the time of the tracking system consumes when schedules tracking platforms for the dynamic highly real-time targets,this paper proposed a collaborative tracking algorithm selecting tracking platforms adaptively based on agents.Firstly,it used agents model to represent the platforms.Then,it aimed to minimize scheduling time and tracking error,and used a contract net protocol combined with binary particle swarm optimization algorithm to select the best tracking platforms.Simulation results show that the proposed algorithm can effectively reduce the scheduling time and improve the tracking accuracy compared with the existing algorithms,so it is suitable for tracking high speed moving target in real-time.

关键词

协同跟踪/多agent/合同网/二值粒子群优化

Key words

collaborative tracking/multi-agent/contract net/binary particle swarm optimization

分类

信息技术与安全科学

引用本文复制引用

蔡淑娜,冉晓旻..基于多agent协同跟踪调度技术研究[J].计算机应用研究,2018,35(2):590-593,599,5.

基金项目

国家科技重大专项资助项目(2014ZX03006003) (2014ZX03006003)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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