Modified cuckoo search: A new gradient free optimisation algorithm

被引：381

作者：

Walton, S. ^{[1
]}

Hassan, O. ^{[1
]}

Morgan, K. ^{[1
]}

Brown, M. R. ^{[1
]}

机构：

[1] Swansea Univ, Coll Engn, Swansea SA2 8PP, W Glam, Wales

来源：

CHAOS SOLITONS & FRACTALS | 2011年 / 44卷 / 09期

基金：

英国工程与自然科学研究理事会;

关键词：

LEVY FLIGHTS;

D O I：

10.1016/j.chaos.2011.06.004

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

A new robust optimisation algorithm, which can be regarded as a modification of the recently developed cuckoo search, is presented. The modification involves the addition of information exchange between the top eggs, or the best solutions. Standard optimisation benchmarking functions are used to test the effects of these modifications and it is demonstrated that, in most cases, the modified cuckoo search performs as well as, or better than, the standard cuckoo search, a particle swarm optimiser, and a differential evolution strategy. In particular the modified cuckoo search shows a high convergence rate to the true global minimum even at high numbers of dimensions. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：710 / 718

页数：9

共 18 条

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