Research of Improved Artificial Fish Swarm Algorithm Based on The Simulated Annealing Algorithm
An improved artificial fish swarm algorithm based on the simulated annealing (SA_1AFSA) is proposed in this paper.A criterion similar to the metropolis of the simulated annealing algorithm is introduced in to improve the artificial fish foraging behavior.In order to get a more accurate solution,the simulated annealing algorithm is also introduced in to the algorithm.This algorithm can not only find the global optimal result but also make the result greater accuracy.The new algorithm is as simple to implement as AFSA,but can greatly improve the ability of seeking the global excellent result and convergence property and accuracy.The feasibility and effectiveness of the new approach is verified by testing function and practical problem.The experimental results show that the proposed algorithm is significantly superior to original AFSA.
Artificial Fish Swarm Algorithm Simulated Annealing Algorithm Foraging Behavior Global Optimization
LIU Jia LI Jing FENG Zhen SHI Zhen-jiang
Information Engineering Dept.Shijiazhuang Institute of Railway Technology Shijiazhuang,China Control Science and Engineering Dept.Hubei Normal University Huangshi,China
国际会议
太原
英文
576-580
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）