A Novel Cuckoo Search with Chaos Theory and Elitism Scheme

This study proposes a novel chaotic cuckoo search (CCS) optimization method by introducing chaotic theory into cuckoo search (CS) algorithm. In CCS, chaos characteristics are combined with the CS with the intention of further enhancing its performance. Further, the elitism scheme is incorporated int...

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Bibliographic Details
Published in2014 International Conference on Soft Computing and Machine Intelligence pp. 64 - 69
Main Authors Gai-Ge Wang, Deb, Suash, Gandomi, Amir H., Zhaojun Zhang, Alavi, Amir H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2014
Subjects
Algorithm design and analysis
Benchmark testing
Chaos
Chaotic maps
Cuckoo search
Electronic mail
Global optimization
Multimodal function
Optimization
Sociology
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DOI10.1109/ISCMI.2014.8

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Summary:This study proposes a novel chaotic cuckoo search (CCS) optimization method by introducing chaotic theory into cuckoo search (CS) algorithm. In CCS, chaos characteristics are combined with the CS with the intention of further enhancing its performance. Further, the elitism scheme is incorporated into CCS in order to preserve the best cuckoos. In the CCS method, twelve chaotic maps are applied to tune the step size of the cuckoos used in the original CS method. Twenty-two benchmark functions are utilized to investigate the efficiency of CCS. The results show that the performance of CCS together with a suitable chaotic map are comparable as well as superior to that of the CS and other metaheuristic algorithms.
DOI:10.1109/ISCMI.2014.8