基于骑手优化的动态布谷鸟搜索算法 吴浩峻.pdf

文档介绍：计算机应用研究
Application Research of Computers
ISSN 1001-3695,CN 51-1196/TP
大连 116026)
摘 要：针对传统布谷鸟搜索算法 CS(cuckoo search)对复杂问题收敛精度低、迭代步幅局限性大的特点，提出了基
于骑手优化的动态布谷鸟搜索策略 ROCS(rider optimization cuckoo search)。结合骑手优化算法 ROA(rider optimization
algorithm)思想，利用多种群在单周期内进行多策略寻优，动态使用最优策略进行加强搜索，提高算法对复杂问题的
收敛效率；同时对 Lévy 飞行运动进行动态参数调节，改善算法搜索前期及末期表现。仿真测试结果显示改进算法对
复杂问题的优化表现优于比对算法，算法寻优效率得到显著改善。
关键词：骑手优化算法；布谷鸟搜索算法；莱维飞行
中图分类号： doi: .1001-
Dynamic cuckoo search algorithm based on rider optimization
Wu Haojuna, Hao Qiruna, Nie Quna, Wang Haolianga, Wang Danb
(Dalian Maritime University a. Marine Engineering College, b. Marine Electrical Engineering College, Dalian 116026,
China)
Abstract: Aiming at the characteristics of the traditional cuckoo search algorithm CS (cuckoo search) with low convergence
accuracy and large limitation of iterative step for complex problems, this paper proposed a dynamic cuckoo search strategy
based on rider optimization ROCS (rider optimization cuckoo search) . The algorithm has combined wit