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A Fitter-Population Based Artificial Bee Colony (JA-ABC) Optimization Algorithm

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Computational Problems in Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 307))

Abstract

Inspired by the intelligent foraging behaviour of honeybees swarm, Artificial Bee Colony (ABC) has been introduced by Karagoba in 2005. ABC algorithm has exhibited superior performance compared to other algorithms such as Genetic Algorithm (GA), Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms. Despite its outstanding performance, ABC suffers from slow convergence rate and premature convergence. Hence, researchers have proposed various ABC variants but none among the variants could have averted both problems simultaneously. Hence, a new ABC algorithm has been proposed which aims to overcome the limitations. The proposed algorithm focuses on enhancing average fitness of population by mutating poor possible solutions around the fittest solution. The presented results show that the proposed algorithm is capable to avert local optima traps at faster convergence speed.

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Acknowledgements

The authors acknowledge Universiti Sains Malaysia (USM) RU-PRGS No: 1001/PELECT/8036007 and USM Short-Term Grant No: 304/PECECT/60311038 for the financial support.

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Authors and Affiliations

  1. School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong-Tebal, Penang, Malaysia

    Dr J. Mohamad-Saleh & N. Sulaiman

  2. Department of Electrical Engineering, NED University of Engineering & Technology Karachi, Karachi, Pakistan

    Dr A. G. Abro

Authors
  1. Dr J. Mohamad-Saleh
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  2. N. Sulaiman
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  3. Dr A. G. Abro
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Corresponding author

Correspondence to J. Mohamad-Saleh .

Editor information

Editors and Affiliations

  1. Technical University of Sofia, Sofia, Bulgaria

    Nikos Mastorakis

  2. Technical University of Sofia, Sofia, Bulgaria

    Valeri Mladenov

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© 2014 Springer International Publishing Switzerland

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Mohamad-Saleh, J., Sulaiman, N., Abro, A. (2014). A Fitter-Population Based Artificial Bee Colony (JA-ABC) Optimization Algorithm. In: Mastorakis, N., Mladenov, V. (eds) Computational Problems in Engineering. Lecture Notes in Electrical Engineering, vol 307. Springer, Cham. https://doi.org/10.1007/978-3-319-03967-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-03967-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03966-4

  • Online ISBN: 978-3-319-03967-1

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