Expected Hypervolume Maximization for Multiobjective Optimization under Uncertainties
ScientificML
Proposes a Bayesian decision-theoretic framework for multiobjective optimization under uncertainties, maximizing the expected hypervolume with respect to input points using gradient-based stochastic optimization.
See LICENSE file multiobjective optimizationuncertaintyhypervolume