Optimized Deployment Technology for Heterogeneous Multi-base Sonar System Based on The IHS-ABC Algorithm

In addressing the optimization deployment issues of heterogeneous multi-base sonar systems, this paper establishes a detection performance evaluation model for heterogeneous multi-base sonar systems in complex underwater environments and proposes a hybrid algorithm combining improved harmony search (IHS) and artificial bee colony (ABC) algorithm called IHS-ABC. This algorithm draws from the concepts of the IHS algorithm, constructs a source memory, employs a full-dimensional probability selection strategy, and modifies the scouting mechanism. The precision and convergence speed of the algorithm are validated using classic benchmark functions. The algorithm is applied to optimize the deployment of heterogeneous multi-base sonar systems in various marine environments under the criterion of maximum coverage. Simulation results indicate that the optimized detection coverage significantly increased, achieving the goal of optimized deployment and enhancing detection performance.