A hybrid approach to artificial bee colony algorithm

作     者：Ma, Lianbo Zhu, Yunlong Zhang, Dingyi Niu, Ben 

作者机构：Chinese Acad Sci Lab Informat Serv & Intelligent Control Shenyang Inst Automat Shenyang 110016 Peoples R China Chinese Acad Sci Key Lab Networked Control Syst Shenyang 110016 Peoples R China Shenzhen Univ Coll Management Shenzhen 518060 Peoples R China 

出 版 物：《NEURAL COMPUTING & APPLICATIONS》 (神经网络计算与应用)

年 卷 期：2016年第27卷第2期

页      面：387-409页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China National High Technology Research and Development Program of China (863 Program) [2014AA052101-3] 51205389 71271140 

主　　题：Artificial bee colony algorithm Varying population Life cycle Comprehensive learning 

摘      要：In this paper, we put forward a hybrid approach based on the life cycle for the artificial bee colony algorithm to generate dynamical varying population as well as ensure appropriate balance between exploration and exploitation. The bee life-cycle model is firstly constructed, which means that each individual can reproduce or die dynamically throughout the searching process and population size can dynamically vary during execution. With the comprehensive learning, the bees incorporate the information of global best solution into the search equation for exploration, while the Powell s search enables the bees deeply to exploit around the promising area. Finally, we instantiate a hybrid artificial bee colony (HABC) optimizer based on the proposed model, namely HABC. Comprehensive test experiments based on the well-known CEC 2014 benchmarks have been carried out to compare the performance of HABC against other bio-mimetic algorithms. Our numerical results prove the effectiveness of the proposed hybridization scheme and demonstrate the performance superiority of the proposed algorithm.