A Novel Bionic Intelligent Optimization Algorithm: Artificial Tribe Algorithm and Its Performance Analysis

摘要：

In this paper, a novel intelligent optimization algorithm - Artificial Tribe Algorithm (ATA) is presented and discussed based on the analyses of the principle and uniform framework of the Bionic Intelligent Optimization Algorithms (BIOA). ATA simulates the existent skills of the natural tribes, and actualizes the optimization purpose through the propagation and migration behaviors of the tribes. ATA is used for optimizing multivariable functions and the results produced by ATA, Genetic Algorithm (GA) have been compared. The results showed that ATA is a powerful algorithm for global optimization problems.

关键词： artificial tribe algorithm bionic intelligent optimization algorithm optimization evolutionary computation swarm intelligence genetic algorithm

作者: Tanggong Chen

作者单位: Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin, 300130, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 222-225

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）