基于刺激-响应分工机制的人工蜂群算法
作者:
作者单位:

1.郑州轻工业大学;2.华中科技大学

作者简介:

通讯作者:

中图分类号:

TP18

基金项目:

国家自然科学基金项目


Artificial bee colony algorithm based on stimulus-response labor division
Author:
Affiliation:

1.Zhengzhou University of Light Industry;2.Huazhong University of Science and Technology

Fund Project:

The National Natural Science Foundation of China

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    摘要:

    针对人工蜂群算法中探索与开采的不平衡以及由此导致的求解精度低、收敛速度慢等问题,提出一种基于刺激-响应分工机制的人工蜂群算法。将探索和开采看成两种不同的搜索任务,令蜜蜂在雇佣蜂阶段执行探索,在跟随蜂阶段执行开采。根据种群多样性设计搜索任务的环境刺激,根据搜索成功率设计蜜蜂个体的响应阈值。在刺激-响应分工机制下,蜜蜂在雇佣蜂和跟随蜂之间灵活转换,从而实现探索和开采的平衡。采用22个基准函数进行仿真实验,实验结果表明了所提算法的有效性。

    Abstract:

    Aiming at the disadvantages of the imbalance between exploration and exploitation in artificial bee colony algorithm, as well as the resulting low solution quality and slow convergence speed, this paper proposes an artificial bee colony algorithm based on stimulus-response labor division. Firstly, exploration and exploitation are regarded as two different search tasks, bees explore the search space in employed bee phase and exploit the search space in onlooker bee phase. Secondly, the environmental stimulus of the search task is designed according to the population diversity, and the response threshold of bee is designed according to the search success rate. Finally, under the mechanism of stimulus-response labor division, bees flexibly switch between the employed bee and the onlooker bee to achieve the exploration-exploitation balance. The experimental results on 22 benchmark functions show the high efficiency of the proposed algorithm.

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历史
  • 收稿日期:2020-09-27
  • 最后修改日期:2020-12-25
  • 录用日期:2021-01-08
  • 在线发布日期: 2021-02-04
  • 出版日期: