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基于动态分组与混沌扰动的改进布谷鸟算法 被引量：1

Improved Cuckoo Algorithm Based on Dynamic Grouping and Chaotic Disturbing
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摘要 针对布谷鸟算法(CS)求解速度不够快、精度不够高的问题,给出一种基于动态分组与混沌扰动的改进布谷鸟算法(ICS),并通过5种经典的测试函数对其性能进行测试.仿真实验结果表明,ICS比CS有更快的求解速度和更高的求解精度. The cuckoo algorithm （CS） is a new heuristic intelligent algorithm, which has the problem that the solving speed is not fast enough and the solving accuracy is not high enough. An improved cuckoo algorithm（ICS） based on dynamic grouping and chaotic disturbing is given, and the performance of which is tested by 5 classical test functions. The simulation results show that the ICS has faster speed and higher precision than the CS.
作者 薛益鸽
机构地区 温州商学院信息工程学院
出处 《杭州师范大学学报（自然科学版）》 CAS 2017年第6期676-680,共5页 Journal of Hangzhou Normal University(Natural Science Edition)
基金 浙江省教育厅科研项目(Y201636359)
关键词 布谷鸟搜索算法 混沌扰动 动态分组 cuckoo search algorithm chaotic disturbing dynamic grouping
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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杭州师范大学学报（自然科学版）
2017年 第6期

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