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

Sudhanshu Mishra ()

MPRA Paper from University Library of Munich, Germany

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 (search for similar items in EconPapers)
JEL-codes: C61 C63 C87 (search for similar items in EconPapers)
Date: 2012-08-11
New Economics Papers: this item is included in nep-cmp
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https://mpra.ub.uni-muenchen.de/40615/1/MPRA_paper_40615.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/40666/1/MPRA_paper_40666.pdf revised version (application/pdf)

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