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Black Hole Artificial Bee Colony Algorithm

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9873))

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Abstract

Artificial bee colony (ABC) is an efficient methodology to solve optimization problems. Here, in this article a modified variant of ABC, namely Black Hole ABC algorithm (BHABC) is proposed which is based on the natural space black hole (BH) phenomenon. In BHABC, the implementation of BH gives a high exploration ability while maintaining the original exploitation ability of the ABC algorithm. The suggested algorithm is judged against 12 benchmark test functions and accessed with original ABC and its two modifications, that are Best So Far ABC (BSFABC) and Modified ABC (MABC). The results reveals that BHABC is a competitive variant of ABC.

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Author information

Authors and Affiliations

  1. Rajasthan Technical University, Kota, India

    Nirmala Sharma & Harish Sharma

  2. Government Engineering College, Jhalawar, Rajasthan, India

    Ajay Sharma

  3. South Asian University, New Delhi, India

    Jagdish Chand Bansal

Authors
  1. Nirmala Sharma
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  2. Harish Sharma
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  3. Ajay Sharma
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  4. Jagdish Chand Bansal
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Corresponding author

Correspondence to Nirmala Sharma .

Editor information

Editors and Affiliations

  1. IIT, New Dehli, India

    Bijaya Ketan Panigrahi

  2. Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Indian Statistical Institute, Kolkata, India

    Swagatam Das

  4. Department of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

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© 2016 Springer International Publishing AG

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Sharma, N., Sharma, H., Sharma, A., Bansal, J.C. (2016). Black Hole Artificial Bee Colony Algorithm. In: Panigrahi, B., Suganthan, P., Das, S., Satapathy, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2015. Lecture Notes in Computer Science(), vol 9873. Springer, Cham. https://doi.org/10.1007/978-3-319-48959-9_19

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  • DOI: https://doi.org/10.1007/978-3-319-48959-9_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48958-2

  • Online ISBN: 978-3-319-48959-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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