• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (04): 734-739.

• 论文 • 上一篇    下一篇

基于动态搜索策略的人工蜂群算法

王志刚   

  1. (南京师范大学泰州学院数学科学与应用学院,江苏 泰州 225300)
  • 收稿日期:2014-02-24 修回日期:2014-04-23 出版日期:2015-04-25 发布日期:2015-04-25
  • 基金资助:

    南京师范大学泰州学院资助项目(Q201232)

A novel artificial bee colony algorithm
based on dynamic search strategy  

WANG Zhigang   

  1. (School of Mathematics,Taizhou College,Nanjing Normal University,Taizhou 225300,China)
  • Received:2014-02-24 Revised:2014-04-23 Online:2015-04-25 Published:2015-04-25

摘要:

为避免人工蜂群算法陷入早熟,提出一种基于动态搜索策略的人工蜂群算法,新算法改进了人工蜂群算法的搜索策略,将两种不同的搜索策略组合成新的搜索策略,以便动态利用两种不同搜索策略的优点,平衡了算法的局部搜索能力和全局搜索能力。基准函数的仿真实验表明,新算法收敛速度快、求解精度高、鲁棒性较强,适合求解高维复杂的全局优化问题。关键词:

关键词: 人工蜂群算法, 动态, 搜索策略

Abstract:

To prevent the traditional artificial bee colony algorithm from being trapped into premature phenomenon,we propose a novel artificial bee colony algorithm based on dynamic search strategy,in which two different search strategies are combined to produce a new one.We dynamically take the advantages of the two different search strategies,making a balance between the local search ability and the global search ability.Benchmark functions are tested, and the results demonstrate that the new algorithm has fast convergence, high accuracy and more robustness,and is more suitable to solve highdimensional complex global optimization problems.

Key words: artificial bee colony algorithm;dynamic;search strategy