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Chaotic cuckoo search

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Abstract

This study proposes a novel chaotic cuckoo search (CCS) optimization method by incorporating 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 to preserve the best cuckoos. In CCS method, 12 chaotic maps are applied to tune the step size of the cuckoos used in the original CS method. Twenty-seven benchmark functions and an engineering case are utilized to investigate the efficiency of CCS. The results clearly demonstrate that the performance of CCS together with a suitable chaotic map is comparable as well as superior to that of the CS and other metaheuristic algorithms.

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Acknowledgments

This work was supported by Research Fund for the Doctoral Program of Jiangsu Normal University (No. 9213614102) and National Natural Science Foundation of China (No. 61305149).

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China

    Gai-Ge Wang

  2. Institute of Algorithm and Big Data Analysis, Northeast Normal University, Changchun, 130117, China

    Gai-Ge Wang

  3. School of Computer Science and Information Technology, Northeast Normal University, Changchun, 130117, China

    Gai-Ge Wang

  4. Cambridge Institute of Technology, Cambridge Village, Tatisilwai, Ranchi, 835103, Jharkhand, India

    Suash Deb

  5. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI, 48824, USA

    Amir H. Gandomi

  6. School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China

    Zhaojun Zhang

  7. Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, 48824, USA

    Amir H. Alavi

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  1. Gai-Ge Wang
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  2. Suash Deb
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  3. Amir H. Gandomi
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  5. Amir H. Alavi
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Corresponding author

Correspondence to Gai-Ge Wang.

Additional information

Communicated by S. Deb, T. Hanne and S. Fong.

S. Deb is pioneer of cuckoo search algorithm.

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Wang, GG., Deb, S., Gandomi, A.H. et al. Chaotic cuckoo search. Soft Comput 20, 3349–3362 (2016). https://doi.org/10.1007/s00500-015-1726-1

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