Survey on Particle Swarm Optimization accelerated on GPGPU

The paper presents an overview of recent research on the Particle Swarm Optimization (PSO) algorithm parallelization on the Graphics Processing Unit for general-purpose computations (GPGPU). This survey attempts to collect, organize, and present reports in the area published since 2007 in a unified way. In order to organize the literature a classification by objective functions and PSO variants is proposed. The paper also compares experimental results taking into account the most popular factor, the calculating acceleration ratio called speedup. Results of the survey are given in a very compact and comprehensive way and could be used as a guide in this area. As a summary, conclusions from categorization, a comparability problem, and possible research areas are discussed.