Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (3): 120-124.

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Artificial Bee Colony with Chemotaxis Behavior for TrainingArtificial Neural Network

LIN Xiao-yu, ZHONG Yi-wen, WANG Ai-rong   

  1. College of Computer and Information Science,Fujian Agricultureand Forestry University,Fuzhou Fujian 350002,China
  • Received:2011-06-15 Online:2011-08-20 Published:2018-12-03

Abstract: A hybird artificial bee colony named ABC-CB (artificial bee colony with chemotaxis behavior) is presented to imporve the local exploitation ability of ABC.Chemotaxis behavior of bacterial foraging optimization algorithm is embedded into ABC in exploitation process to make employed bees and onlookers tumble to the best dimension and swim for several steps just like whatthe bacteria do while foraging.On the other hand,bees try all dimensions and selectthe best one to move.The simulation experiments carried out on the training of artificial neural network show that the proposed algorithm has better performance than bee colony optimization algorithm and particle swarm optimizationalgorithm.

Key words: chemotaxis, artifical bee colony, artificial neural network, bacterial foraging optimization

CLC Number: 

  • TP183
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