摘要
针对人工蜂群算法搜索精度较低、容易陷入局部最优的缺陷,将混沌搜索机制融入了人工蜂群算法,利用混沌机制重置个体,以保持个体的多样性;同时加入全局最优个体信息和惯性调整因子对个体位置进行更新,提出了混沌人工蜂群算法,并将该算法应用于水电站经济调度问题.实验结果显示,混沌人工蜂群算法搜索精度高、速度快,鲁棒性强,是一种较实用的优化算法.
In view of the fact that the search speed and accuracy of the basic artificial bee colony is not high and the optimization for high-dimensional problems is poor,the chaos search mechanism is integrated into the artificial bee colony algorithm to reset individuals and maintain individual diversity. At the same time,we add global optimal individual information and inertia adjustment factors to update individual locations. The chaos artificial bee colony algorithm is proposed and applied to the economic scheduling of hydropower station. Experiments show that chaos artificial bee colony algorithm has high searching precision,fast speed and strong robustness,which is a practical optimization algorithm.
作者
李辉
LI Hui(Mathematics Office of Fujian College of Water Conservancy and Electric Power,Yong＇an 366000,Chin)
出处
《广州大学学报（自然科学版）》
CAS
2018年第2期8-12,共5页
Journal of Guangzhou University:Natural Science Edition
基金
福建省教育厅资助项目(JAT160773)
关键词
混沌搜索
人工蜂群算法
随机搜索
Chaos search
artificial bee colony algorithm
random search
