A modified Artificial Bee Colony algorithm for real-parameter optimization

作     者：Akay, Bahriye Karaboga, Dervis 

作者机构：Erciyes Univ Dept Comp Engn TR-38039 Kayseri Turkey 

出 版 物：《INFORMATION SCIENCES》 (信息科学)

年 卷 期：2012年第192卷

页      面：120-142页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Swarm intelligence Self-organization Artificial Bee Colony algorithm Real-parameter optimization 

摘      要：Swarm intelligence is a research field that models the collective intelligence in swarms of insects or animals. Many algorithms that simulates these models have been proposed in order to solve a wide range of problems. The Artificial Bee Colony algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behaviour of honey bee colonies. In this work, modified versions of the Artificial Bee Colony algorithm are introduced and applied for efficiently solving real-parameter optimization problems. (C) 2010 Elsevier Inc. All rights reserved.