Comparison of parallel surrogate-assisted optimization approaches
Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz–Beielstein · Proceedings of the Genetic and Evolutionary Computation Conference · 2018
The availability of several CPU cores on current computers enables parallelization and increases the computational power significantly. Optimization algorithms have to be adapted to exploit these highly parallelized systems and evaluate multiple candidate solutions in each iteration. This issue is especially challenging for expensive optimization problems, where surrogate models are employed to reduce the load of objective function evaluations.