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Diversifying Search in Bee Algorithms for Numerical Optimisation

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Computational Collective Intelligence (ICCCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11056))

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Abstract

Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributions so that a complementary collective effort can be achieved to offer a useful solution. The harmonisation helps blend diversification and intensification suitably towards efficient collective behaviours. In this study, two renown honeybees-inspired algorithms were analysed with respect to the balance of diversification and intensification and a hybrid algorithm is proposed to improve the efficiency accordingly. The proposed hybrid algorithm was tested with solving well-known highly dimensional numerical optimisation (benchmark) problems. Consequently, the proposed hybrid algorithm has demonstrated outperforming the two original bee algorithms in solving hard numerical optimisation benchmarks.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Karabuk University, Karabuk, Turkey

    Muharrem Düg̃enci

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, UK

    Mehmet Emin Aydin

Authors
  1. Muharrem Düg̃enci
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  2. Mehmet Emin Aydin
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Corresponding author

Correspondence to Mehmet Emin Aydin .

Editor information

Editors and Affiliations

  1. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Elias Pimenidis

  3. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Zaheer Khan

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Düg̃enci, M., Aydin, M.E. (2018). Diversifying Search in Bee Algorithms for Numerical Optimisation. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11056. Springer, Cham. https://doi.org/10.1007/978-3-319-98446-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-98446-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98445-2

  • Online ISBN: 978-3-319-98446-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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