Multi-objective particle swarm optimizer based on orthogonal design
基于正交设计的多目标粒子群算法*

In order to improve the ability of PSO in solving multi-objective optmization, by discussing the relationship between method of initialization swarm and algorithm performance,this paper proposed a multi-objective PSO based on orthogonal design (ODMOPSO for short). In the proposed algorithm,firstly,used orthogonal design to initialize the population,which made the algorithm can search in the whole feasible space;next,introduced the comprehensive learning strategy to improve the probability of flying to Paret...