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A hybrid artificial bee colony algorithm for numerical function optimization

Author

Listed:
  • Zakaria N. Alqattan

    (School of Computer Sciences, Universiti Sains Malaysia, Penang, 11800, Malaysia)

  • Rosni Abdullah

    (School of Computer Sciences, Universiti Sains Malaysia, Penang, 11800, Malaysia)

Abstract

Artificial Bee Colony (ABC) algorithm is one of the swarm intelligence algorithms; it has been introduced by Karaboga in 2005. It is a meta-heuristic optimization search algorithm inspired from the intelligent foraging behavior of the honey bees in nature. Its unique search process made it as one of the most competitive algorithm with some other search algorithms in the area of optimization, such as Genetic algorithm (GA) and Particle Swarm Optimization (PSO). However, the ABC performance of the local search process and the bee movement or the solution improvement equation still has some weaknesses. The ABC is good in avoiding trapping at the local optimum but it spends its time searching around unpromising random selected solutions. Inspired by the PSO, we propose a Hybrid Particle-movement ABC algorithm called HPABC, which adapts the particle movement process to improve the exploration of the original ABC algorithm. Numerical benchmark functions were used in order to experimentally test the HPABC algorithm. The results illustrate that the HPABC algorithm can outperform the ABC algorithm in most of the experiments (75% better in accuracy and over 3 times faster).

Suggested Citation

  • Zakaria N. Alqattan & Rosni Abdullah, 2015. "A hybrid artificial bee colony algorithm for numerical function optimization," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(10), pages 1-17.
  • Handle: RePEc:wsi:ijmpcx:v:26:y:2015:i:10:n:s0129183115501090
    DOI: 10.1142/S0129183115501090
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    1. Andrey Anatolievich Vasetskiy, 0. "Review of the Monograph of N. A. Borisov, V. A. Volkov «In Search of a New Paradigm: Sketch of Political Ecology»," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 3.
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