首页 | 本学科首页   官方微博 | 高级检索  
     

一种自适应步长布谷鸟搜索算法
引用本文:郑洪清,周永权. 一种自适应步长布谷鸟搜索算法[J]. 计算机工程与应用, 2013, 49(10): 68-71
作者姓名:郑洪清  周永权
作者单位:1.广西民族大学 信息科学与工程学院,南宁 5300062.广西混杂计算与集成电路设计分析重点实验室,南宁 530006
摘    要:针对布谷鸟搜索算法(CS)后期收敛速度慢、计算精度不高等不足,提出了一种自适应步长调整布谷鸟搜索算法,加快布谷鸟搜索算法的搜索速度,提高其计算精度。通过8个标准测试函数测试的结果表明,改进后的自适应步长布谷鸟搜索算法具有较快的收敛速度和较高的寻优精度。

关 键 词:布谷鸟搜索算法  自适应步长  标准测试函数  

Self-adaptive step cuckoo search algorithm
ZHENG Hongqing,ZHOU Yongquan. Self-adaptive step cuckoo search algorithm[J]. Computer Engineering and Applications, 2013, 49(10): 68-71
Authors:ZHENG Hongqing  ZHOU Yongquan
Affiliation:1.College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China2.Guangxi Key Lab of Hybrid Computation and Integrated Circuit Design Analysis, Nanning 530006, China
Abstract:Aiming at the faults that Cuckoo Search algorithm cannot acquire exactly and converge slowly in the later period, this paper presents a self-adaptive step adjustment cuckoo search algorithm, which speeds up the cuckoo search algorithm speed and improves the calculation accuracy. The simulation results show the improved self-adaptive step cuckoo search algorithm can search for global optimization more quickly and precisely.
Keywords:Cuckoo Search algorithm(CS)  self-adaptive step  testing functions
本文献已被 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号