期刊文献+

基于遗传算法的自航水雷障碍雷位配置 被引量:4

Configuration of Planting Locations in Mobile Mine Obstacle Based on Genetic Algorithm
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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。 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.
出处 《弹箭与制导学报》 CSCD 北大核心 2012年第2期162-164,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
基金 海军大连舰艇学院科研发展基金资助
关键词 自航水雷 期望雷位 优化 遗传算法 mobile mine predetermined planting location optimization genetic algorithm
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