A Novel Hybrid Vortex Search and Artificial Bee Colony Algorithm for Numerical Optimization Problems

被引：1
作者：
WANG Zhaowei [1 ]
WU Guomin [2 ]
WAN Zhongping [1 ]
机构：
[1] School of Mathematics and Statistics,Wuhan University
[2] Department of Mathematics and Physics,Beijing Institute of Petrochemical Technology
来源：
Wuhan University Journal of Natural Sciences | 2017年 / 22卷 / 04期
基金：
中国国家自然科学基金;
关键词：
numerical optimization problems; vortex search algorithm; artificial bee colony algorithm; hybrid algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Though vortex search(VS) algorithm has good performance in solving global numerical optimization problems, it cannot fully search the whole space occasionally. Combining the vortex search algorithm and the artificial bee colony algorithm(ABC) which has good performance in exploration, we present a HVS(hybrid vortex search) algorithm to solve the numerical optimization problems. We first use the employed bees and onlooker bees of ABC algorithm to find a solution, and then adopt the VS algorithm to find the best solution. In the meantime, we cannot treat the best solution so far as the center of the algorithm all the time. The algorithm is tested by 50 benchmark functions. The numerical results show the HVS algorithm has superior performance over the ABC and the VS algorithms.
引用
收藏
页码：295 / 306
页数：12
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