混合优化算法及在约束优化问题中的应用  

Hybrid Optimization Algorithm and its Application in Constraint Optimization Problems

作　　者：陈忠菊[1] 

机构地区：[1]辽宁公安司法管理干部学院,辽宁省沈阳市110031

出　　处：《曲阜师范大学学报（自然科学版）》2009年第2期23-26,共4页Journal of Qufu Normal University(Natural Science)

基　　金：辽宁省教育厅高等学校基金资助项目(20060589)

摘　　要：针对混沌优化方法和Alopex算法的特性,将改进的Alopex算法嵌入到混沌优化算法中,提出了一种混合优化算法,此算法充分发挥了改进的Alopex算法的快速搜索能力和混沌优化方法细致寻优的特性,提高了算法的收敛速度,避免了优化算法陷入局部最优的缺陷;同时将混合优化算法应用于约束优化问题中.仿真结果表明了混合优化算法的有效性.A optimization algorithm is proposed in this paper through embedding the improved Alopex algorithm into the chaos optimization algorithm. By integarting the fast search ability of the improved Alopex algorithm with the fine search characteristics of the chaos optimization algorithm, a new hybrid algorithm is presented, which converges faster and avoids being trapped in local optimum. Te simulation results show the effectiveness of this algorithm when it is applied to constraint optimization problems.

关 键 词：混沌优化算法 ALOPEX算法 混合优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]