Semi-supervised learning assisted particle swarm optimization of computationally expensive problems

@inproceedings{Sun2018SemisupervisedLA,
  title={Semi-supervised learning assisted particle swarm optimization of computationally expensive problems},
  author={Chao-Li Sun and Yaochu Jin and Ying Tan},
  booktitle={GECCO},
  year={2018}
}
In many real-world optimization problems, it is very time-consuming to evaluate the performance of candidate solutions because the evaluations involve computationally intensive numerical simulations or costly physical experiments. Therefore, standard population based meta-heuristic search algorithms are not best suited for solving such expensive problems… CONTINUE READING