%0 Journal Article %A PEI Shengyu %A ZHOU Yongquan %T Using hybrid particle swarm algorithm for solving constrained multi-objective optimization problem %D 2011 %R %J Computer Engineering and Applications %P 49-52 %V 47 %N 15 %X A hybrid particle swarm algorithm for solving constrained multi-objective optimization problem is proposed,in which two populations are adopted,and Pareto non-dominated ranking,tournament selection,crowding distance method are integrated into a new based wash out rule by improving the update strategy of particles.Finally,four classical functions are used to test the performance of the algorithm.Experimental results show that the proposed approach is an efficient and outperform conventional algorithm.
%U http://cea.ceaj.org/EN/abstract/article_26543.shtml