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Evolutionary Multi-objective Whale Optimization Algorithm

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 941))

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Abstract

Whale Optimization Algorithm (WOA) is a recently proposed metaheuristic algorithm and achieved much attention of the researchers worldwide for its competitive performance over other popular metaheuristic algorithms. As a metaheuristic algorithm, it mimics the hunting behavior of humpback whale which uses its unique spiral bubble-net feeding maneuver to search and hunt prey. The WOA has been designed to solve mono-objective problems and it shows great performance and even surplus other state of the art metaheuristics in terms of fast convergence and other performance criteria. But this such a distinctive and successful metaheuristic’s performance in dealing multi-objective problems especially in dealing with multi-objective benchmark problems has not been studied that much extent. In this paper, we developed a multi-objective version of WOA which incorporates both whale search and evolutionary search strategy. The obtained results are also compared with NSGA-II, NSGA-III, MOEA/D, MOEA/D-DE, MOPSO and d-MOPSO state of art multi-objective evolutionary algorithms.

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Author information

Authors and Affiliations

  1. United International University, Dhaka, 1212, Bangladesh

    Faisal Ahmed Siddiqi & Chowdhury Mofizur Rahman

Authors
  1. Faisal Ahmed Siddiqi
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  2. Chowdhury Mofizur Rahman
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Corresponding author

Correspondence to Faisal Ahmed Siddiqi .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Siddiqi, F.A., Mofizur Rahman, C. (2020). Evolutionary Multi-objective Whale Optimization Algorithm. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_43

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