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A Novel Swarm Intelligence Algorithm Based on Cuckoo Search Algorithm (NSICS)

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Intelligent Computing Theories and Methodologies (ICIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9225))

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Abstract

Cuckoo Search algorithm (CS) is swarm intelligence based algorithm motivated by nature. This algorithm is based on brood parasitism of some cuckoo species and has high capability of global search. Therefore, the global optimum can be figured out with higher probability. This paper proposes a novel meta-heuristic approach, called NSICS, based on CS. NSICS is able to explore not only the search space on global scale but also around the optimum on local scale more efficiently. Consequently, more accurate results can be obtained. To approach these purposes, three operators of Eggs laying, lévy fights and Move are applied. Experiments are studied on thirteen common benchmark functions among unimodal, multimodal, shifted and shifted rotated classes and then compared with CS, GPSO, SFLA and GSA algorithms. These algorithms are chosen from swarm intelligence based, bio-inspired based and chemistry and physics based algorithms’ category. The simulations indicate the proposed algorithm has satisfactory performance.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, College of Nabi Akram, Tabriz, Iran

    Nazanin Fouladgar

  2. Computer Science Department, University of Tabriz, Tabriz, Iran

    Shahriar Lotfi

Authors
  1. Nazanin Fouladgar
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  2. Shahriar Lotfi
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Corresponding author

Correspondence to Nazanin Fouladgar .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Polytecnic of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, New South Wales, Australia

    Prashan Premaratne

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Fouladgar, N., Lotfi, S. (2015). A Novel Swarm Intelligence Algorithm Based on Cuckoo Search Algorithm (NSICS). In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9225. Springer, Cham. https://doi.org/10.1007/978-3-319-22180-9_58

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  • DOI: https://doi.org/10.1007/978-3-319-22180-9_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22179-3

  • Online ISBN: 978-3-319-22180-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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