Particle Swarm Optimization Based on Creative Thinking for Solving Weapon Target Assignment Problem

Because of new characteristics of modern warfare new requirements and challenges of Weapon Target Assignment(WTA) in air defense warfare are put forward.A WTA model is designed,and Particle Swarm Optimization(PSO) algorithm is chosen to solve it.PSO suffers from the premature convergence problem in solving WTA. To solve this problem,PSO algorithm is analyzed from cognitive psychology and CTPSO algorithm is proposed by introducing CT to the evolution model of PSO.According to the discreteness in WTA model,discrete strategies are designed by setting the coding and decoding rules,and the operation rules for particles' velocity and positions.Experimental results show that CTPSO has priority in solution quality and convergence rate.