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Modified Activity of Scout Bee in ABC for Global Optimization

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Proceedings of the Third International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 259))

Abstract

Artificial Bee Colony (ABC) algorithm is a bio-inspired technique motivated by the intelligent foraging behavior of honey bee swarm. ABC mainly depends on the activity of employed bees, onlooker bees and scout bees. It is a practice that during simulation, if no further improvement in the population is found within an allowable number of cycles, the employed bee becomes scout and reinitializes the population by its standard equation. But there is a chance of losing the best individuals achieved so far. In this paper, a modification in scout bee activity is proposed, with an insertion of a modified Quadratic Approximation namely qABC. The effectiveness of the proposed qABC over most recent variants of ABC is analyzed through a set of Benchmark problems. The experimental confirms that qABC outperforms its other variants.

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Authors and Affiliations

  1. Department of Mathematics, National Institute of Technology, Silchar, 788010, India

    Kedar Nath Das & Biplab Chaudhur

Authors
  1. Kedar Nath Das
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  2. Biplab Chaudhur
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Corresponding author

Correspondence to Kedar Nath Das .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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Das, K.N., Chaudhur, B. (2014). Modified Activity of Scout Bee in ABC for Global Optimization. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 259. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1768-8_57

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  • DOI: https://doi.org/10.1007/978-81-322-1768-8_57

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1767-1

  • Online ISBN: 978-81-322-1768-8

  • eBook Packages: EngineeringEngineering (R0)

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