Artificial Tribe Algorithm for solving constrained optimization problems
Tanggong Chen, Youhua H. Wang, Lingling Pang, Wenhui Jia, Zhi Liu, Xiaowe Wei · 2010
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.