Global Optimization of Some Difficult Benchmark Functions by Cuckoo-Host Co-Evolution Meta-Heuristics

108 Pages Posted: 12 Aug 2012 Last revised: 25 Nov 2012

Date Written: August 11, 2012

Abstract

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.

Keywords: cuckoo-host co-evolution, cuckoo search, global optimization, differential evolution, levy flight, benchmark functions

JEL Classification: C61, C63, D83

Suggested Citation

Mishra, Sudhanshu K., Global Optimization of Some Difficult Benchmark Functions by Cuckoo-Host Co-Evolution Meta-Heuristics (August 11, 2012). Available at SSRN: https://ssrn.com/abstract=2128079 or http://dx.doi.org/10.2139/ssrn.2128079

Sudhanshu K. Mishra (Contact Author)

North-Eastern Hill University (NEHU) ( email )

NEHU Campus
Shillong, 793022
India
03642550102 (Phone)

HOME PAGE: http://www.nehu-economics.info

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