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 .
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.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第5期546-549,553,共5页
Control and Decision
基金
辽宁省教育厅基金资助项目 (2 0 2 0 6 2 0 4 2 )
关键词
混沌优化
ALOPEX算法
混合优化
收敛性
chaotic optimization
Alopex algorithm
hybrid optimization
convergence
