A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems

Although many surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to solve computationally expensive problems, they usually need to consume plenty of expensive evaluations to obtain an acceptable solution. In this paper, we proposed a fast surrogate-assisted particle swarm optimization (FSAPSO) algorithm to solve medium scaled computationally expensive problems through a small number of function evaluations (FEs). Two criteria …