Hybridization of Particle Swarm Optimization - A Survey

Hybridization is the burning topic now-a-days. Therefore, extensive studies are taking place on this topic. It leads to more efficiency and robustness of the hybridized algorithms. Hybrid algorithms can be used to solve various set of problems like scheduling, engineering design problems, medical image processing, data clustering, geometric place optimization problems etc. In all, it can be said that hybridization is very promising technique. It offers potential advantages. Therefore, this paper describes the survey of various hybridized algorithms.