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一种混合优化算法及其收敛性证明
引用本文:石鸿雁,陈治飞,孙昌志.一种混合优化算法及其收敛性证明[J].控制与决策,2004,19(5):546-549.
作者姓名:石鸿雁  陈治飞  孙昌志
作者单位:沈阳工业大学,机器人电机研究所,辽宁,沈阳,110023
基金项目:辽宁省教育厅基金资助项目 (2 0 2 0 6 2 0 4 2 )
摘    要:针对改进的混沌优化方法和Alopex算法的特性,将改进的Alopex算法嵌入到改进的混沌优化算法中,提出一种混合优化算法,此算法充分发挥了改进的Alopex算法的快速搜索能力和改进的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;同时对改进的混沌优化算法和混合优化算法的收敛性进行了证明,仿真结果表明了算法的有效性。

关 键 词:混沌优化  Alopex算法  混合优化  收敛性
文章编号:1001-0920(2004)05-0546-04

On the convergence of a hybrid optimization algorithm
SHI Hong-yan,CHEN Zhi-fei,SUN Chang-zhi.On the convergence of a hybrid optimization algorithm[J].Control and Decision,2004,19(5):546-549.
Authors:SHI Hong-yan  CHEN Zhi-fei  SUN Chang-zhi
Abstract:A hybrid optimization algorithm, in which the improved Alopex algorithm is embedded into the improved chaotic optimization algorithm, is proposed based on the properties of the improved chaotic optimization and Alopex algorithm. The algorithm is with the rapid search capability of the improved Alopex algorithm and the subtle search characteristics of the improved chaotic optimization algorithm, and the convergent speed of the presented algorithm avoiding being trapped in local optimum is improved. In the mean time, the convergence of the improved chaotic optimization algorithm and hybrid optimization algorithm are proved. Simulation results show that the algorithm is effective.
Keywords:chaotic optimization  Alopex algorithm  hybrid optimization  convergence
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