Scalarizing Functions in Bayesian Multiobjective Optimization

Scalarizing functions have been widely used to convert a multiobjective optimization problem into a single objective optimization problem. However, their use in solving computationally expensive multi-and many-objective optimization problems using Bayesian multiobjective optimization is scarce. Scal...

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Veröffentlicht in:	2020 IEEE Congress on Evolutionary Computation (CEC) S. 1 - 8
1. Verfasser:	Chugh, Tinkle
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2020
Schlagworte:	Bayes methods Buildings Chebyshev approximation evolutionary multiobjective optimization Gaussian processes Linear programming metamodel Optimization methods Pareto optimality surrogate
Online-Zugang:	Volltext
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