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.