Novel Heuristic Artificial Fish Swarm Algorithm
Liangdong Qu, Yong Huang · Jisuanji gongcheng · 2011
(Abstract )It is a difficulty to obtain satisfactory solution based on a single structure and mechanism generally. Adding heuristic information of Evolutionary Strategy(ES) and Particle Swarm Optimization(PSO) to artificial fish swarm algorithm, a novel Artificial Fish Swarm Algorithm(AFSA) is proposed. Its convergence is proved. Experimental results show that the algorithm can effectively avoid the basic AFSA into local extremum. It can converge quickly with high adjustment and the effectiveness is also demonstrated by parameter estimation.