一种基于遗传算法的浮标折线拦截阵优化布放方法

A Genetic Algorithm Based Optimized Deployment Method for Buoy Line Interception Array

摘要:

声呐浮标是航空搜潜的主要手段,适合的声呐浮标阵型将有效提高搜潜效率。针对传统的声呐浮标布阵存在搜索概率低、效能低的问题,以声呐浮标折线阵为例,利用遗传算法的寻优特点,对其进行优化,设计了一种可满足对潜搜索概率所需的最少投放浮标数量的优化方法,并对该新方法进行仿真验证。仿真结果表明:该方法设计的最优声呐浮标折线阵型,在布阵时间和搜潜概率方面较传统算法均有所改进,提高了搜潜概率,可为航空反潜战术规划提供技术支持。

Abstract:

Sonar buoys are the most important means of aerial submarine search, and a suitable sonar buoy formation will improve the efficiency of submarine search. In response to the problems of low search probability and low search effi-ciency in traditional sonar buoy arrays, the sonar buoy line array is taken as an example, the optimization characteristics of genetic algorithm is used to optimize it, and an optimization method that meets the minimum number of buoys required for submarine search probability is designed. And the new method is simulated and verified. The simulation results show that the optimal sonar buoy line formation designed by this method has improved the deployment time and search prob-ability compared to traditional algorithms, increasing the search probability and providing technical support for aviation anti submarine tactical planning.