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

作     者：WANG Zhaowei WU Guomin WAN Zhongping 

作者机构：School of Mathematics and StatisticsWuhan University Department of Mathematics and PhysicsBeijing Institute of Petrochemical Technology 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2017年第22卷第4期

页      面：295-306页

核心收录：

学科分类：07[理学] 070105[理学-运筹学与控制论] 0701[理学-数学] 

基　　金：Supported by the National Natural Science Foundation of China(71471140) 

主　　题：numerical optimization problems vortex searchalgorithm artificial bee colony algorithm hybrid algorithm 

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.