相关技术

基于遗传算法的自航水雷障碍雷位配置

  • 朱红波 ,
  • 张旭 ,
  • 冷相文
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  • 1 西北工业大学航海学院,西安 710072
    2 海军大连舰艇学院,辽宁大连 116018

朱红波(1981-),男,河南新密人,讲师,博士研究生,研究方向:水中兵器作战使用。

收稿日期: 2010-10-19

  网络出版日期: 2025-05-29

基金资助

海军大连舰艇学院科研发展基金

Configuration of Planting Locations in Mobile Mine Obstacle Based on Genetic Algorithm

  • ZHU Hongbo ,
  • ZHANG Xu ,
  • LENG Xiangwen
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  • 1 School of Marine Engineering, Northwestern Polytechnical University, Xi' an 710072, China
    2 Dalian Naval Academy, Liaoning Dalian 116018, China

Received date: 2010-10-19

  Online published: 2025-05-29

摘要

根据自航水雷的散布特性,以水雷障碍对目标舰船平均毁伤概率为评估指标,建立自航水雷障碍期望雷位配置优化模型,并用遗传算法进行模型求解。针对障碍期望雷位的互换性,采用启发式有序算术交叉算子和高斯变异算子,引入精英保留策略,确保并加速算法收敛。算例结果表明该方法是有效可行的,为科学制定布雷计划提供理论依据。

本文引用格式

朱红波 , 张旭 , 冷相文 . 基于遗传算法的自航水雷障碍雷位配置[J]. 弹箭与制导学报, 2012 , 32(2) : 162 -164 . DOI: 10.15892/j.cnki.djzdxb.2012.02.058

Abstract

The optimization configuration model of predetermined planting locations based on the average damage probability was proposed by considering the dispersion regularity of mobile mine, and a genetic algorithm for solving the optimization problem was presented. Aiming at interchangeability of predetermined planting locations, the orderly heuristic crossover operator and Gaussian mutation operator were introduced, and Elitist strategy was adopted in order to accelerate convergence. The numerical results demonstrate that the proposed method is available and lays theoretical basis for scientific planting plan.

参考文献

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滕兆新, 张旭. 水雷对舰船的毁伤概率计算模型及仿真[J]. 系统仿真学报, 2008. 20 (16): 2911- 2916.
[2]
黄平. 最优化理论与方法[M]. 北京: 清华大学出版社, 2009.
[3]
王小平, 曹立明. 遗传算法——理论、应用与软件实现[M]. 西安: 西安交通大学出版社, 2002.
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卢楠, 张旭. 自航水雷雷位误差对障碍毁伤概率影响分析[J]. 指挥控制与仿真, 2008, 30 (5): 110- 112.
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