An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems
Juliane Müller
| Year of publication: |
2020
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|---|---|
| Authors: | Müller, Juliane |
| Published in: |
INFOR : information systems and operational research. - Abingdon : Taylor & Francis Group, ISSN 1916-0615, ZDB-ID 1468358-1. - Vol. 58.2020, 2, p. 264-289
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| Subject: | black-box optimization | Global optimization | multi-fidelity optimization | surrogate models | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Algorithmus | Algorithm |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/03155986.2019.1607810 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012221406