郑州大学学报（工学版）2017，Vol.38Issue(6)：33-38,6.DOI:10.13705/j.issn.1671-6833.2017.06.033
精英反向学习的单纯形交叉布谷鸟搜索算法
Elite Opposition-based Learning Based Simplex Crossover Cuckoo Search Algorithm
摘要
Abstract
Cuckoo search algorithm iteratively uses L évy Flights random walk and Biased random walk to search for new individuals.In this paper,an enhanced cuckoo search was proposed,which employed elite op-position-based learning,simplex crossover and parameter control for the fraction probablity.The elite opposi-tion-based learning strategy was used to avoid the new individuals being homogeneous in the L évy Flights ran-dom walk.The simplex crossover strategy was utilized to reduce the inefficience of Biased random walk.The chaotic map was used to adaptively adjust the parameter pa to balance the exploration and the exploitation. The results of experiment showed the proposed strategies were overall effective,and make a great improvement on the performance of solution and convergence.关键词
布谷鸟搜索算法/单纯形交叉/反向学习/混沌映射Key words
cuckoo search algorithm/simplex crossover/opposite learning/chaotic maps分类
信息技术与安全科学引用本文复制引用
林要华,王李进..精英反向学习的单纯形交叉布谷鸟搜索算法[J].郑州大学学报（工学版）,2017,38(6):33-38,6.基金项目
福建省自然科学基金资助项目(2016J01280) （2016J01280）
福建省教育厅资助项目(JB09114) （JB09114）
