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Hybridizing Bat Algorithm with Modified Pitch Adjustment Operator for Numerical Optimization Problems

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Modeling, Simulation, and Optimization

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

This article introduces a new metaheuristic approach that is a hybrid of two known algorithms, for solving global optimization problems. The proposed algorithm is based on the bat algorithm (BA), which is inspired by the micro-bat echolocation phenomenon, and addresses the problems of local-optima trapping and low precision using an adjusted mutation operator from the harmony search (HS) algorithm. The proposed Hybrid Bat Harmony (HBH) algorithm attempts to balance the good exploitation process of BA with a fast exploration feature inspired by HS. The design of HBH is introduced, and its performance is evaluated against 14 of the standard benchmark functions and compared to that of the standard BA and HS algorithms and to another recent hybrid algorithm (HS/BA). The obtained results show that the new HBH method is indeed a promising addition to the arsenal of metaheuristic algorithms and can outperform the original BA and HS algorithms.

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Acknowledgments

This research was funded by Universiti Sains Malaysia, APEX (308/AIPS/ 415401) and was also supported by the Fundamental Research Grant Scheme (FRGS) for “Content Based Analysis Framework for Better Email Forensic and Cyber Investigation” [203/PKOMP/6711426].

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Authors and Affiliations

  1. School of Computer Science, Universiti Sains Malaysia, Gelugor, Penang, Malaysia

    Waheed Ali H. M. Ghanem & Aman Jantan

  2. Faculty of Education-Saber, University of Aden, Aden, Yemen

    Waheed Ali H. M. Ghanem

  3. Faculty of Engineering, University of Aden, Aden, Yemen

    Waheed Ali H. M. Ghanem

Authors
  1. Waheed Ali H. M. Ghanem
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  2. Aman Jantan
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Corresponding author

Correspondence to Waheed Ali H. M. Ghanem .

Editor information

Editors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Tronoh, Malaysia

    Pandian Vasant

  2. Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Nuevo León, Mexico

    Igor Litvinchev

  3. Panamerican University, Mexico

    José Antonio Marmolejo-Saucedo

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Ghanem, W.A.H.M., Jantan, A. (2018). Hybridizing Bat Algorithm with Modified Pitch Adjustment Operator for Numerical Optimization Problems. In: Vasant, P., Litvinchev, I., Marmolejo-Saucedo, J. (eds) Modeling, Simulation, and Optimization . EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-70542-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-70542-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70541-5

  • Online ISBN: 978-3-319-70542-2

  • eBook Packages: EngineeringEngineering (R0)

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