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基于改进粒子群算法的多机协同目标分配

朱德法 单连平 管莹莹

火力与指挥控制2015,Vol.40Issue(8):38-41,4.
火力与指挥控制2015,Vol.40Issue(8):38-41,4.

基于改进粒子群算法的多机协同目标分配

Multi-fighters Cooperative Target Assignment Based on Improved PSO

朱德法 1单连平 1管莹莹1

作者信息

  • 1. 江苏自动化研究所,江苏 连云港 222006
  • 折叠

摘要

Abstract

According to the problem of multi-fighters cooperative target assignment,an improved particle swarm optimization algorithm is put forward,and the process of updating position and velocity of new particle swarm is designed. The algorithm performance is enhanced observably by taking advantage of the global searching ability of PSO algorithm and the partial searching ability of greedy method. The result of simulation experiment shows that the improved particle swarm optimization can solve the problem of multi-fighters cooperative target assignment quickly,and can g find out the global optimal solution.

关键词

粒子群/多机协同/目标分配/贪婪

Key words

particle swarm optimization/multi-fighters cooperative/target assignment/greedy

分类

信息技术与安全科学

引用本文复制引用

朱德法,单连平,管莹莹..基于改进粒子群算法的多机协同目标分配[J].火力与指挥控制,2015,40(8):38-41,4.

基金项目

船舶预研支撑技术基金资助项目(12J3.7.4) (12J3.7.4)

火力与指挥控制

OA北大核心CSCDCSTPCD

1002-0640

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