2010•Unpublished venueRequires access

Artificial Tribe Algorithm for solving constrained optimization problems

Tanggong Chen, Youhua Wang, Lingling Pang, Wenhui Jia, Zhi Liu, Xiaowe Wei

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.

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Key concepts: Penalty method, Mathematical optimization, Constrained optimization problem, Constrained optimization, Computer science, Optimization problem, Tribe, Set (abstract data type)