Title :
Artificial Tribe Algorithm for solving constrained optimization problems
Author :
Chen, Tanggong ; Wang, Youhua ; Pang, Lingling ; Jia, Wenhui ; Liu, Zhi ; Wei, Xiaowei
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 optimization algorithm. This paper presents the comparison results on the performance of the ATA for solving constrained optimization problems. The penalty function method and non-parameter penalty method are applied to a set of constrained problems. The simulation results show that ATA is an efficient algorithm for constrained optimization problems.
Keywords :
biocybernetics; constraint handling; optimisation; problem solving; artificial tribe algorithm; constrained optimization problems solving; nonparameter penalty method; Testing; artificial tribe algorithm; bionic intelligent optimization algorithm; constrained optimization problem; evolutionary algorithms; optimization;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658772
