Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization

摘要

For multi-objective optimization problems, particle swarm optimization ( PSO ) algorithm generally needs a large number of fitness evaluations to obtain the Pareto optimal solutions. However, it will become substantially time-consuming when handling compu