Modified cuckoo search algorithm for unconstrained optimization problems

Authors:
Milan Tuba;Milos Subotic;Nadezda Stanarevic
Affiliations:
Faculty of Computer Science, University Megatrend Belgrade, Serbia;Faculty of Computer Science, University Megatrend Belgrade, Serbia;Faculty of Computer Science, University Megatrend Belgrade, Serbia
Venue:
ECC'11 Proceedings of the 5th European conference on European computing conference
Year:
2011

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Abstract

This paper presents modified cuckoo search (CS) algorithm for unconstrained optimization problems. Young and Deb's cuckoo search algorithm was successfully used on some optimization problems and there is also a corresponding code. We implemented a modified version of this algorithm where the step size is determined from the sorted rather than only permuted fitness matrix. Our modified algorithm was tested on eight standard benchmark functions. Comparison of the pure cuckoo search algorithm and our modified one is presented and it shows improved results by our modification.