Global optimization of some difficult benchmark functions by cuckoo-hostco-evolution meta-heuristics

This paper proposes a novel method of global optimization based on cuckoo-host co-evaluation. It also develops a Fortran-77 code for the algorithm. The algorithm has been tested on 96 benchmark functions (of which the results of 30 relatively harder problems have been reported). The proposed method is comparable to the Differential Evolution method of global optimization.

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Year of publication:	2012-08-11
Authors:	Mishra, SK
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	Cuckoo-Host Co-Evolution \| Cuckoo Search \| Global Optimization \| Differential Evolution \| Levy flight \| Benchmark functions

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Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Classification:	C63 - Computational Techniques ; C87 - Econometric Software ; C61 - Optimization Techniques; Programming Models; Dynamic Analysis
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011108336