基于改进遗传算法的岸基无源传感器优化部署研究OA

In order to solve the problems such as low utilization rate and unreasonable collaborative deploy-ment of shore-based passive sensors,this paper proposes a collaborative deployment optimization method based on an improved genetic algorithm(IGA),aimed to enhance the reconnaissance coverage of the aerial target areas in maritime direction by rationally configuring sensor positions.Firstly,a regional coverage model is constructed,and a multi-strategy crossover-operator is introduced,which improves the global optimization ability;and then a self-adaptive mutation mechanism is introduced to dynamically adjust the mutation rate,balance population diversity and convergence speed.The simulation results demonstrate that compared with the other three optimization algo-rithms,the IGAexhibits significant performance advantages in terms of convergence accuracy and algorithm stability.