›› 2015, Vol. 28 ›› Issue (3): 61-.

• 论文 • 上一篇    下一篇



  1. (西安电子科技大学 数学与统计学院,陕西 西安 710071)
  • 出版日期:2015-03-15 发布日期:2015-03-12
  • 作者简介:王晓娟(1988—),女,硕士研究生。研究方向:最优化理论与应用,智能算法。E-mail:1826113095@qq.com

A Fast and Efficient Artificial Bee Colony Algorithm

WANG Xiaojuan   

  1. (School of Mathematics and Statistics,Xidian University,Xi'an 710071,China)
  • Online:2015-03-15 Published:2015-03-12



关键词: 人工蜂群算法, 多维搜索, 一维搜索, 种群多样性, 基准测试函数


For the slow convergence and susceptibility to local minima of the artificial bee colony algorithm,a hybrid search strategy based on multi-dimensional search and linear search in the employment bee search is presented,which improves convergence rate of the algorithm under single one-dimensional search strategy.A new selection strategy for following the bees is also proposed to enhance the diversity of population and strengthen global searching ability.Finally,the improved algorithm is compared with standard algorithms through simulation experiment on twelve benchmark test functions,the results show that the improved algorithm outperform the standard algorithm in both convergence rate and searching precision.

Key words: artificial bee colony algorithm;multi-dimensional searching;one-dimensional searching;diversity of population;benchmark test function


  • TP301.6