福州大学学报（自然科学版）2018，Vol.46Issue(2)：163-168,6.DOI:10.7631/issn.1000-2243.17114
基于行动轨迹的人工蜂群算法
Improved artificial bee colony algorithm based on actions trajectory
摘要
Abstract
In the model of ABC (artificial bee colony algorithm),the bee's randomly selection of dimension,direction and step size to exploit the food source resulting in slow convergence speed.In this paper,an improved artificial bee colony algorithm based on bees actions trajectory (EDABC) is presented.EDABC records the historical actions of a bee when it exploit honey,and analyses to guide the generation of a new candidate solution.The performance of proposed approach was examined on benchmark functions.The experimental results show that the proposed approach is successful in terms of solution quality,robustness and convergence to global optimum.关键词
人工蜂群算法/群智能/函数优化问题Key words
artificial bee colony algorithm/swarm intelligence/numerical function optimization分类
信息技术与安全科学引用本文复制引用
何尧,郭文忠,刘耿耿,张顺淼..基于行动轨迹的人工蜂群算法[J].福州大学学报（自然科学版）,2018,46(2):163-168,6.基金项目
福建省科技厅引导性资助项目(2017H0001) （2017H0001）
福建省教育厅科研资助项目(JA15356) （JA15356）
国家自然科学基金资助项目(11501114) （11501114）
福建省青年教师教育研究基金资助项目(JA14217) （JA14217）
