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云模型的布谷鸟搜索算法

李志平 王勇 张呈志

计算机应用研究Issue(1):92-97,6.
计算机应用研究Issue(1):92-97,6.DOI:10.3969/j.issn.1001-3695.2016.01.021

云模型的布谷鸟搜索算法

Cloud model cuckoo search algorithm

李志平 1王勇 1张呈志2

作者信息

  • 1. 广西民族大学 信息科学与工程学院,南宁 530006
  • 2. 广西混杂计算与集成电路设计分析重点实验室,南宁 530006
  • 折叠

摘要

Abstract

For existing lack of cuckoo search algorithm (CS),and solving optimization problems the performance of conti-nuous functions,this paper combined with the excellent characteristics of cloud model between qualitative and quantitative conversion,and designed cloud model cuckoo search algorithm(CCS).The core idea was to achieve through the cloud model cuckoo evolutionary learning process,similar to the differential evolution for information exchange between groups.The hybrid algorithm greatly improved the accuracy of CS algorithm,and speeded up the convergence of the algorithm.The simulation re-sults show that CCS has strong adventage in function tests.The results are more close to theory optimal solution.

关键词

布谷鸟搜索算法/云模型/云模型的布谷鸟搜索算法

Key words

cuckoo search algorithm/cloud models/CCS2

分类

信息技术与安全科学

引用本文复制引用

李志平,王勇,张呈志..云模型的布谷鸟搜索算法[J].计算机应用研究,2016,(1):92-97,6.

基金项目

广西高等学校科研项目(KY2015YB078);广西自然科学基金资助项目 ()

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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