Adaptation of Training Data Selection Criterion

IEEE Symposium Series on Computational Intelligence 2022（IEEE SSCI 2022，シンガポールマネジメント大学，シンガポール，12/4-7）にて発表を行いました．開催にご尽力くださった方々に感謝いたします．

IEEE SSCI 2022 にて発表を行います．

This paper proposes a novel SAEA with adaptation of the training data selection criterion. Our proposal builds multiple RBF surrogate models with sets of training data chosen by different selection criteria, and selects one model with the best accuracy.