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: 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
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