1. Belakaria, S., Deshwal, A., and Doppa, J. R., Max-value entropy search for multiobjective bayesian optimization, In Proceedings of International Conference on Neural Information Processing Systems, (2019).
2. Emmerich, M., and Klinkenberg, J. W., The computation of the expected improvement in dominated hypervolume of Pareto front approximations, Rapport technique, Leiden University, Vol.34 (2008), pp. 7–3.
3. Forsberg, K and Hal, M., The relationship of system engineering to the project cycle, (1991).
4. Hennig, P and Schuler, C.J., Entropy search for information-efficient global optimization, Journal of Machine Learning Research, Vol.13, No. 6 (2012), pp 1809-1837.
5. Hirata, N，Mizutani, N，Matsui, H，Yano, K，Takahashi, T, Evaluation of chassis dynamometer test by real vehicle operating driver model simulated intelligent driver behavior，Society of Automotive Engineers of Japan Autumn Convention，No.20145655 (2014).