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基于多种群遗传算法的直升机编队目标分配

周凯 姜文志 陈邓安

计算机与数字工程2016,Vol.44Issue(9):1695-1699,1709,6.
计算机与数字工程2016,Vol.44Issue(9):1695-1699,1709,6.DOI:10.3969/j.issn.1672-9722.2016.09.015

基于多种群遗传算法的直升机编队目标分配

Target Assignment of the Helicopter Fleet Based on Multiple Population Genetic Algorithm

周凯 1姜文志 1陈邓安1

作者信息

  • 1. 海军航空工程学院 烟台 264001
  • 折叠

摘要

Abstract

A multiple population genetic algorithm (MPGA) was put forward for multi‐helicopter cooperation target as‐signment problem .In the algorithm ,adopting immigration operator and competition operator was applied so as to make the MPGA more suitable for multi‐helicopter cooperation target assignment problem .Aiming at the shorting of premature and poor resulted from pure GA ,the algorithm performance was enhance observably by enhancing interactive between individual and superior individual and achieve carrying out being in conjunction with of various populations evolution .The simulated re‐sults show that the MPGA algorithm can solve multi‐helicopter cooperation target assignment effectively ,which was simple , flexible and easy to implement and expand .

关键词

多直升机协同/目标分配/多种群遗传算法

Key words

multi-helicopter cooperation/multiple population genetic algorithm/target assignment

分类

航空航天

引用本文复制引用

周凯,姜文志,陈邓安..基于多种群遗传算法的直升机编队目标分配[J].计算机与数字工程,2016,44(9):1695-1699,1709,6.

计算机与数字工程

OACSTPCD

1672-9722

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