计算力学学报2012，Vol.29Issue(6)：960-965,6.
采用小生境技术的混合蛙跳算法
A shuffled frog leaping algorithm using niche technology
摘要
Abstract
Shuffled frog leaping algorithm (SFLA) is a new heuristic global optimization algorithm. After studying the optimization mechanism of SFLA, this paper proposes a shuffled frog leaping algorithm using niche technology. The new algorithm applies the RCS niche technology to make each sub-popula- tion dynamically form search spaces independent of one another. In the update formula for the solution, an adaptive factor is designed to adjust the moving step. Furthermore, the population elimination mecha- nism is used in the algorithm, to randomly initialize the sub-population which falls into the local opti- mum. Experimental results show that the algorithm in this paper improves the optimization accuracy and convergence speed effectively.关键词
混合蛙跳算法/小生境技术/全局优化/种群淘汰Key words
shuffled frog leaping algorithm/niche technology/global optimization/population elimination分类
信息技术与安全科学引用本文复制引用
姜建国,李锦,龙秀萍,申洁琳,田旻..采用小生境技术的混合蛙跳算法[J].计算力学学报,2012,29(6):960-965,6.基金项目
国防基础科研计划（D1120060967）资助项目. （）
