A Memetic Particle Swarm Optimization Algorithm to Solve Multi-objective Optimization Problems

An improved particle swarm optimization algorithm to solve multi-objective optimization problems is proposed, called MoMPSO. Firstly, Simulated annealing is incorporated to Particle swarm optimization to enhance the search ability. Secondly, Nonuniform mutation is used to increase the diversity. The simulated results show that the proposed algorithm is better than the compared ones.