Research of Wolf Pack Algorithm

Wolf Pack Algorithm(WPA) proposed in 2011 is one of the swarm intelligence optimization algorithms, which has been widely used in many fields such as artificial neural network, medical science, optimization triaxial sensor placement, optimization operation of hydropower station and so on. At present, WPA has been obtained good application results in above fields. However, the same as other swarm intelligence optimization algorithms, during the study period, WPA has some problems need to be discussed such as how to improve the performance of the algorithm in optimization problems and expanding algorithm application fields, etc. For expand WPA algorithm theoretical system and practical applications, according to the insufficiency of WPA, it is deeply investigated from theory aspect in this paper. On Theoretical Research on, for a wide range of typical algorithm for optimization, optimize, and improve internal operational mechanism of WCA algorithm to improve the WPA algorithm for single-objective optimization, multimodal optimization, and performance on multi-objective optimization problems.