计算机应用 ›› 2012, Vol. 32 ›› Issue (09): 2530-2533.DOI: 10.3724/SP.J.1087.2012.02530

• 人工智能 • 上一篇    下一篇

优化蚁群算法在反舰导弹航路规划中的应用

高曼1*,刘以安1,张强2   

  1. 1.江南大学 物联网工程学院,江苏 无锡 214122;
    2.中国船舶重工集团公司 第七二三研究所,江苏 扬州 225001
  • 收稿日期:2012-03-13 修回日期:2012-04-30 发布日期:2012-09-01 出版日期:2012-09-01
  • 通讯作者: 高曼
  • 作者简介:高曼(1987-),女,山东济宁人,硕士研究生,主要研究方向:人工智能、模式识别、信息处理、雷达对抗; 刘以安(1963-),男,江苏涟水人,教授,博士,主要研究方向:数据融合、雷达对抗、模式识别、智能系统; 张强(1963-),男,江苏扬州人,研究员,主要研究方向:雷达总体仿真与设计。

Application of improved ant colony algorithm to route planning of anti-ship missile

GAO Man1*,LIU Yi-an1,ZHANG Qiang2   

  1. 1.School of Internet of Things Engineering,Jiangnan University,Wuxi Jiangsu 214122,China;
    2.No.723 Institute,China Shipbuilding Industry Corporation,Yangzhou Jiangsu 225001,China
  • Received:2012-03-13 Revised:2012-04-30 Online:2012-09-01 Published:2012-09-01

摘要: 应用基本蚁群算法解决反舰导弹航路规划问题,会有收敛速度慢、计算时间长、易于过早陷入局部最优等缺点。针对该问题,引入轮盘式选择策略、精英策略以及路径优化策略对传统蚁群算法进行优化,并将优化算法应用于反舰导弹航路规划中;同时通过对反舰导弹的可行航向进行限定,缩小了航路规划的最大搜索范围。仿真实验表明,基于优化蚁群算法的反舰导弹航路规划不仅缩短了最优航路长度,而且提高了最优航路搜索过程的收敛速度。

关键词: 反舰导弹, 航路规划, 蚁群算法, 轮盘式选择策略, 精英策略, 路径优化策略

Abstract: Application of the basic ant colony algorithm for anti-ship missile path planning problem has such shortcomings as slow convergence speed, long computation time, and easily falling into local optimum. Concerning these shortcomings, roulette selection strategy, elite strategy and path optimization strategy were adopted on traditional ant colony algorithm to optimize it, and the optimization algorithm was applied in anti-ship missile route planning. At the same time, by means of limiting the feasible course of anti-ship missile, the maximum search range for route planning was reduced. Simulation results show that the anti-ship missile route planning based on improved ant colony algorithm not only shortens the optimal route length but also speeds up the convergence rate of the optimal route search process.

Key words: anti-ship missile, route planning, ant colony algorithm, roulette selection strategy, elitist strategy, path optimization strategy

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