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Some real problems require the evaluation of expensive and noisy objective functions.
Algorithm 778: L-bfgs-b: Fortran subroutines for large-scale bound-constrained optimization
Ciyou Zhu, Richard H Byrd, Peihuang Lu, and Jorge Nocedal · 1997
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Finding acceptable solutions in the pareto-optimal range using multiobjective genetic algorithms
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Multi-criteria decision making methods : a comparative study
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Gaussian processes in machine learning
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Multiobjective optimization: principles and case studies, 2003
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Many-objective optimization: An engineering design perspective
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A faster algorithm for calculating hypervolume
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Evolutionary many-objective optimization: A short review
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Ranking methods for many-objective optimization
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Matrix p-norms are np-hard to approximate if p ≠ \neq 1,2, ∞ \infty , 2009
Julien M. Hendrickx and Alex Olshevsky · 2009
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Eduardo C Garrido-Merchán and Daniel Hernández-Lobato · 2019
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