在航空反潜战中,合理有效地布放被动浮标阵是提高探测概率的关键。该文将遗传算法应用于优化被动浮标布阵,合理设计了交叉算子,变异算子和适应度函数等。仿真分析了按经验布放的传统浮标阵和GA优化阵形的探测效能,结果表明该算法在复杂水声环境条件下,能有效提高被动浮标阵的探测概率。
How to deploy efficiently sonobuoys is important in air ASW. The Genetic Algorithm(GA) is applied to sonobuoys deployment with reasonable crossover, mutation and the fitness function. A simulation is present to compare detection probability of sonobuoys array between produced by CA and standard method, and the results indicates that the GA can achieve a significant improvement in detection probability.