%0 Journal Article
%T HYBRID PARTICLE SWARM ALGORITHM OF NONLINEAR CONSTRAINT OPTIMIZATION PROBLEMS<br>非线性约束优化问题的混合粒子群算法
%A Gao Yuelin
%A Li Huirong
%A <br>高岳林
%A 李会荣
%J 计算数学
%D 2010
%I 
%X Combining an outside point method of dealing with the constraints with improved particle swarm optimization algorithm, a hybrid particle swarm optimization algorithm is proposed for solving non-linear constrained optimization problems. This method makes use of advantages of the PSO and outside point method. The non-feasible particles produced in iterative process are dealt with by the outside point method to produce feasible particles. A number of numerical experiments show that the proposed new algorithm has effectiveness and versatility and robustness.
%K global optimization
%K non-linear constrained optimization
%K particle swarm optimization(PSO)
%K outside point method<br>全局最优化
%K 非线性约束优化
%K 粒子群优化
%K 外点法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=CC77F3CEF526D9CF0B3021650FB4E57E&aid=AB8312C746B7818E4F44EE98BF317A56&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=0B39A22176CE99FB&sid=5E25104E99903E8A&eid=A020552C37306588&journal_id=0254-7791&journal_name=计算数学&referenced_num=1&reference_num=20