Paper Title:
An Improved Method of Artificial Bee Colony Algorithm
  Abstract

The basic artificial bee colony algorithm gets local extremum easily and converges slowly in optimization problems of the multi-object function. In order to enhance the global search ability of basic artificial bee colony algorithm, an improved method of artificial bee colony algorithm is proposed in this paper. The basic idea of this method is as follows: On the basis of traditional artificial bee colony algorithm, the solution vectors that found by each bee colony are recombined after each iteration, then the solution vectors of combinations are evaluated again, thus the best result is found in this iteration. In this way the possibility of sticking at local extremum is reduced. Finally the simulation experiment has been finished. The simulation experiment results have shown that the method proposed in this paper is feasible and effective, it is better than basic artificial bee colony algorithm in the global search ability.

  Info
Periodical
Chapter
Chapter 2: Simulation and Engineering Optimization
Edited by
Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li
Pages
315-319
DOI
10.4028/www.scientific.net/AMM.101-102.315
Citation
X. J. Wu, D. Hao, C. Xu, "An Improved Method of Artificial Bee Colony Algorithm", Applied Mechanics and Materials, Vols. 101-102, pp. 315-319, 2012
Online since
September 2011
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Price
$32.00
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