Original Multi-Objective Optimization Algorithm
Li Wang · Journal of Guangxi Normal University · 2006
Particle swarm optimization has been a competitive heuristic to solve multi-objective optimization problems.In this paper,a new approach combined online elite archiving and fitness sharing is proposed for multi-objective optimization problems.Three test functions have been used to evaluate the performance of proposed approach.What's more,the comparison of average time between the proposed method and NSGA-II has been done.The results indicate that the proposed approach generates a satisfactory approximation of the Pareto front with evenly distributed solution along it.