, , 2009.
Articulating user preferences in many-objective problems by sampling the weighted hypervolume, Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pp.555-562, 2013. ,
Fast computation of the multi-points expected improvement with applications in batch selection, International Conference on Learning and Intelligent Optimization, pp.59-69, 2006. ,
, Single-and multiobjective evolutionary optimization assisted by gaussian random field metamodels, IEEE Transactions on Evolutionary Computation, vol.10, issue.4, pp.421-439
, , 2019.
, High-dimensional Bayesian Multi-Objective Optimization
, , 2018.
, Budgeted multi-objective optimization with a focus on the central part of the Pareto front -extended version
, , 2018.
, Targeting well-balanced solutions in multi-objective Bayesian optimization under a restricted budget, International Conference on Learning and Intelligent Optimization, pp.175-179
, , 2019.
, Targeting solutions in Bayesian multi-objective optimization: Sequential and batch versions, Annals of Mathematics and Artificial Intelligence
Efficient global optimization of expensive black-box functions, Journal of Global optimization, vol.13, issue.4, pp.455-492, 1998. ,
Other solutions to Nash's bargaining problem, Econometrica: Journal of the Econometric Society, pp.513-518, 1975. ,
, , 2016.
, Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors
The parallel knowledge gradient method for batch Bayesian optimization, Advances in Neural Information Processing Systems, pp.3126-3134, 2016. ,
, , 2016.
, Preference-based multiobjective optimization using truncated expected hypervolume improvement, Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), pp.276-281, 2016.
Evolutionary algorithms for multiobjective optimization: Methods and applications, 1999. ,