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 a...
详细信息
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.
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 perform...
详细信息
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.
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 Optimiz...
详细信息
ISBN:
(纸本)9781424450015
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.
暂无评论