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

Author

Chen, Tanggong

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China

Volume

1

fYear

2010

fDate

13-14 March 2010

Firstpage

222

Lastpage

225

Abstract

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.

Keywords

genetic algorithms; artificial tribe algorithm; bionic intelligent optimization algorithm; genetic algorithm; multivariable function optimization; Algorithm design and analysis; Ant colony optimization; Artificial intelligence; Electric variables measurement; Electromagnetic measurements; Genetic algorithms; Mechatronics; Optimization methods; Particle swarm optimization; Performance analysis; artificial tribe algorithm; bionic intelligent optimization algorithm; evolutionary computation; genetic algorithm; optimization; swarm intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.516

Filename

5460299