A novel approach on Cuckoo search algorithm using Gamma distribution

Sourya Roy, Arijit Mallick, Sheli Sinha Chowdhury, Sangita Roy
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引用次数: 13

Abstract

Cuckoo search algorithm (CS) is one of the most efficient optimization techniques developed so far. Several attempts have been made in past in order to improve the efficiency of CSO algorithm. In this paper we have tried to exploit the fundamental step length distribution function of the CS algorithm in order to increase its efficiency. Cuckoo search is a metaheuristic optimization technique. In place of conventional Levy distribution, Gamma distribution has been used. We will represent the increased efficiency of the Gamma distribution aided CSO algorithm in the following paper.
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一种基于伽马分布的布谷鸟搜索算法
布谷鸟搜索算法(CS)是目前发展起来的最有效的优化技术之一。为了提高CSO算法的效率,前人已经做了一些尝试。本文试图利用CS算法的基本步长分布函数来提高算法的效率。布谷鸟搜索是一种元启发式优化技术。用Gamma分布代替了传统的Levy分布。在下一篇文章中,我们将介绍伽马分布辅助CSO算法提高的效率。
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