Intelligent Optimization of an Anti-torpedo Counterplan Based on Particle Swarm Optimization Algorithm

Particle swarm optimization (PSO) algorithm was advanced in the intelligent optimization of an anti-torpedo counterplan. When a submarine was attacked by torpedo and in the mean time it had to be properly maneuvered. Due to the optimal allocation problem for the acoustic warfare equipment, a typical anti-torpedo counterplan was studied, and PSO algorithm was applied in the intelligent tuning of the four controller parameters, so as to optimize the counterplan reasonably which used acoustic warfare equipments and maneuver of submarine evasion. Then combined with the Monte Carlo method, algorithm was design and simulation was conducted. By comparison, it can greatly improve the survival probability of the submarines by using the optimized scheme, which has practical significance to defense torpedo for the submarine in the undersea warfare.