Mishra, SK (2012): Global optimization of some difficult benchmark functions by cuckoo-host co-evolution meta-heuristics.
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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.
Item Type: | MPRA Paper |
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Original Title: | Global optimization of some difficult benchmark functions by cuckoo-host co-evolution meta-heuristics |
Language: | English |
Keywords: | Cuckoo-Host Co-Evolution; Cuckoo Search; Global Optimization; Differential Evolution; Levy flight; Benchmark functions |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C87 - Econometric Software C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis |
Item ID: | 40666 |
Depositing User: | Sudhanshu Kumar Mishra |
Date Deposited: | 15 Aug 2012 01:12 |
Last Modified: | 27 Sep 2019 16:38 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/40666 |
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Global optimization of some difficult benchmark functions by cuckoo-hostco-evolution meta-heuristics. (deposited 12 Aug 2012 23:05)
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