Mishra, SK (2012): Global optimization of some difficult benchmark functions by cuckoohost coevolution metaheuristics.
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Abstract
This paper proposes a novel method of global optimization based on cuckoohost coevaluation. It also develops a Fortran77 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 

Original Title:  Global optimization of some difficult benchmark functions by cuckoohost coevolution metaheuristics 
Language:  English 
Keywords:  CuckooHost CoEvolution; 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:  22. Aug 2015 16:36 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/40666 
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Global optimization of some difficult benchmark functions by cuckoohostcoevolution metaheuristics. (deposited 12. Aug 2012 23:05)
 Global optimization of some difficult benchmark functions by cuckoohost coevolution metaheuristics. (deposited 15. Aug 2012 01:12) [Currently Displayed]