Global Optimization of Some Difficult Benchmark Functions by Cuckoo-Host Co-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
Authors:	Mishra, Sudhanshu K.
Publisher:	[S.l.] : SSRN
Subject:	Mathematische Optimierung \| Mathematical programming \| Theorie \| Theory \| Benchmarking

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