Title :
On the Analysis of Performance of the Artificial Tribe Algorithm
Author :
Chen, Tanggong ; Wei, Xiaowei ; Jia, Wenhui ; Liu, Zhi
Author_Institution :
Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China
Abstract :
Artificial Tribe Algorithm (ATA) is a novel intelligent optimization algorithm based on the simulation of bionic intelligent optimization algorithm. This work discusses the main factors which influence the performance of ATA, and compares the performance of ATA with that of genetic algorithm (GA), particle swarm optimization (PSO), and artificial fish-swarm algorithm (AFSA) for optimization multivariable functions. The simulation results showed that ATA outperforms the mentioned algorithms in global optimization problems.
Keywords :
genetic algorithms; particle swarm optimisation; artificial fish-swarm algorithm; artificial tribe algorithm; bionic intelligent optimization algorithm; genetic algorithm; optimization multivariable functions; particle swarm optimization; performance analysis; Algorithm design and analysis; Ant colony optimization; Artificial intelligence; Design optimization; Electromagnetic analysis; Electromagnetic fields; Genetic algorithms; Optimization methods; Particle swarm optimization; Performance analysis; artificial fish-swarm algorithm; artificial tribe algorithm; bionic intelligent optimization algorithm; genetic algorithm; optimization; particle swarm algorithm;
Conference_Titel :
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location :
Huangshan, Anhui
Print_ISBN :
978-1-4244-6812-6
Electronic_ISBN :
978-1-4244-6813-3
DOI :
10.1109/CSO.2010.112
