Cooperative Approaches to Artificial Bee Colony Algorithm

摘要：

Article Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper presents a variation on the original ABC algorithm, namely the Cooperative Article Bee Colony (CABC), which significantly improves the original ABC in solving complex optimization problems. In this work, CABC algorithm is used for optimizing six widely-used benchmark functions and the comparative results produced by ABC, Particle Swarm Optimization (PSO) and its cooperative version (CPSO) have been studied. The simulation results showed that the proposed CABC outperforms the other three algorithms in terms of accuracy, robustness and convergence speed.

关键词： component article bee colony cooperative article bee colony particle swarm optimization cooperative particle swarm optimization

作者: Wenping Zou Yunlong Zhu Hanning Chen Zhu Zhu

作者单位: Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Scien Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Scien

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 44-48

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）