A New Expected Improvement Acquisition Function for Expensive Multi-Objective Optimization

While Bayesian optimization, a popular solution to black-box optimization problems, has been extended to handle expensive multi-objective optimization problems (MOPs), expected improvement (EI), a commonly used acquisition function, for MOPs is often either computationally expensive or inefficient t...

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Vydáno v:	2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS) s. 1 - 7
Hlavní autoři:	Wang, Xilu, Jin, Yaochu
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 22.09.2023
Témata:	acquisition function Bayes methods Bayesian optimization Benchmark testing Closed box Complex systems expected improvement expensive multi-objective optimization Mathematical models Optimization Pareto optimization
On-line přístup:	Získat plný text
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