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《Systems Engineering and Electronics》 2013-11
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New swarm intelligence algorithm——wolf pack algorithm

WU Hu-sheng;ZHANG Feng-ming;WU Lu-shan;Materiel Management and Safety Engineering College,Air Force Engineering University;Materiel Engineering College,Armed Police Force Engineering University;College of Electronic and Electrical Engineering,Shanghai University of Engineering Science;  
Based on swarm intelligence of a pach of wolves,inspiring by their hunting behaviors and distributive mode for prey,this paper abstracts three intelligent behaviors,scouting,summoning and beleaguering,and deduces a productive rule for leading wolf that the winner can dominate its all and a renewable mechaism,named survival of the stronger,for a pack of wolves.From the above,a new heuristic swarm intelligent method,wolf pack algorithm(WPA)is proposed.Moreover,this algorithm's global probability convergence is proved based on the theory of Markov chain.Then the proposed algorithm is applied to 15typical complex function optimization problems,and compared with three classical intelligent algorithms,particle swarm optimization algorithm,artificial fish swarm algorithm and genetic algorithm.Simulation results show that WPA has better global convergence and computational robustness,and is especially suitable for solving high-dimension and multimodal function optimization problems.
【Fund】: 国家自然科学基金(71171199)资助课题
【CateGory Index】: TP18
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