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An Improved Artificial Bee Colony Algorithm with Non-separable Operator

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Book cover Convergence and Hybrid Information Technology (ICHIT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7425))

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Abstract

Artificial Bee Colony (ABC) algorithm, motivated by the foraging behavior of honey bee swarm, has been shown to be competitive with other conventional nature inspired optimization algorithms. However, it has been found that the search mechanism using one element perturbation operator limits the algorithm’s search ability in some cases. Therefore, we propose an improved ABC algorithm by embedding a non-separable operator and the gbest-guided operator in employed bee phase and onlooker bee phase, respectively, to balance the search performance on separable problem and non-separable problem. The effectiveness of the proposed ABC is analyzed on a standard benchmark suite consisting of eight functions. The undertaken study shows that the proposed ABC scheme exhibits a better performance compared to canonical ABC and its variant and is competitive with classic Differential Evolution (DE).

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Author information

Authors and Affiliations

  1. Iba Laboratory, The University of Tokyo, 113-8656, Tokyo, Japan

    Chaogang He, Nasimul Noman & Hitoshi Iba

Authors
  1. Chaogang He
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  2. Nasimul Noman
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  3. Hitoshi Iba
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Editor information

Editors and Affiliations

  1. Dept of Computer Engineering, Hannam University, Korea

    Geuk Lee

  2. Computer Science and Information System, University of Limerick, Limerick, Ireland

    Daniel Howard

  3. Department of Information and Communication, Dong Seoul University, 423 Bokjeong-Dong, Sujeong-Gu, Seongnam, Gyunggi, Korea

    Jeong Jin Kang

  4. Institute of Mathematics, University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Dominik Ślęzak

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© 2012 Springer-Verlag Berlin Heidelberg

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He, C., Noman, N., Iba, H. (2012). An Improved Artificial Bee Colony Algorithm with Non-separable Operator. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Lecture Notes in Computer Science, vol 7425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32645-5_26

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  • DOI: https://doi.org/10.1007/978-3-642-32645-5_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32644-8

  • Online ISBN: 978-3-642-32645-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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