Hybrid Optimization Algorithm lased on Mean Particle Swarm and Artificial Fish Swarm

作者：Zhou, Yongquan^*; Huang, Xingshou; Yang, Yan; Wu, Jinzhao

来源：Information-An International Interdisciplinary Journal, 2012, 15(2): 763-777.

• particle swarm algorithm
• mean particle swarm algorithm
• artificial fish swarm algorithm
• optimization

In this paper, we making full use of the quick local convergence and easy implementation performance of the mean particle swarm algorithm (MPSO) and the good global convergence of artificial fish swarm algorithm (AFSA), a hybrid optimization algorithm based on MPSO and AFSA is proposed. The hybrid algorithm overcomes the late poor global convergence of the MPSO and slow convergence of the AFSA. Simulation results show that the hybrid optimization algorithm in this paper not only has good global convergence, but also has fast convergence rate respectively compared with the basic particle swarm algorithm and artificial fish swarm algorithm.

• 出版日期2012-2
• 单位河池学院; 广西民族大学