A fair performance comparison of different surrogate optimization strategies

Bernhard Werth; Erik Pitzer; Michael Affenzeller

doi:10.1007/978-3-319-74718-7_49

A fair performance comparison of different surrogate optimization strategies

Bernhard Werth, Erik Pitzer, Michael Affenzeller

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

1 Zitat (Scopus)

Abstract

Much of the literature found on surrogate models presents new approaches or algorithms trying to solve black-box optimization problems with as few evaluations as possible. The comparisons of these new ideas with other algorithms are often very limited and constrained to non-surrogate algorithms or algorithms following very similar ideas as the presented ones. This work aims to provide both an overview over the most important general trends in surrogate assisted optimization and a more wide-spanning comparison in a fair environment by reimplementation within the same software framework.

Originalsprache	Englisch
Titel	Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers
Redakteure/-innen	Roberto Moreno-Diaz, Alexis Quesada-Arencibia, Franz Pichler
Herausgeber (Verlag)	Springer
Seiten	408-415
Seitenumfang	8
ISBN (Print)	9783319747170
DOIs	https://doi.org/10.1007/978-3-319-74718-7_49
Publikationsstatus	Veröffentlicht - 2018
Veranstaltung	16th International Conference on Computer Aided Systems Theory, EUROCAST 2017 - Las Palmas de Gran Canaria, Spanien Dauer: 19 Feb. 2017 → 24 Feb. 2017

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	10671 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	16th International Conference on Computer Aided Systems Theory, EUROCAST 2017
Land/Gebiet	Spanien
Ort	Las Palmas de Gran Canaria
Zeitraum	19.02.2017 → 24.02.2017

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10.1007/978-3-319-74718-7_49

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Werth, B., Pitzer, E., & Affenzeller, M. (2018). A fair performance comparison of different surrogate optimization strategies. in R. Moreno-Diaz, A. Quesada-Arencibia, & F. Pichler (Hrsg.), Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers (S. 408-415). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 10671 LNCS). Springer. https://doi.org/10.1007/978-3-319-74718-7_49

Werth, Bernhard ; Pitzer, Erik ; Affenzeller, Michael. / A fair performance comparison of different surrogate optimization strategies. Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Hrsg. / Roberto Moreno-Diaz ; Alexis Quesada-Arencibia ; Franz Pichler. Springer, 2018. S. 408-415 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A fair performance comparison of different surrogate optimization strategies",

abstract = "Much of the literature found on surrogate models presents new approaches or algorithms trying to solve black-box optimization problems with as few evaluations as possible. The comparisons of these new ideas with other algorithms are often very limited and constrained to non-surrogate algorithms or algorithms following very similar ideas as the presented ones. This work aims to provide both an overview over the most important general trends in surrogate assisted optimization and a more wide-spanning comparison in a fair environment by reimplementation within the same software framework.",

keywords = "Black-box optimization, Evolutionary algorithms, Surrogate models",

author = "Bernhard Werth and Erik Pitzer and Michael Affenzeller",

note = "Funding Information: Acknowledgements. This work was supported by the European Union through the European Regional Development Fund (EFRE; further information on IWB/EFRE is available at www.efre.gv.at). Funding Information: This work was supported by the European Union through the European Regional Development Fund (EFRE; further information on IWB/EFRE is available at www.efre.gv.at). Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017 ; Conference date: 19-02-2017 Through 24-02-2017",

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doi = "10.1007/978-3-319-74718-7_49",

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isbn = "9783319747170",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Werth, B , Pitzer, E & Affenzeller, M 2018, A fair performance comparison of different surrogate optimization strategies. in R Moreno-Diaz, A Quesada-Arencibia & F Pichler (Hrsg.), Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 10671 LNCS, Springer, S. 408-415, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, Las Palmas de Gran Canaria, Spanien, 19.02.2017. https://doi.org/10.1007/978-3-319-74718-7_49

A fair performance comparison of different surrogate optimization strategies. / Werth, Bernhard ; Pitzer, Erik ; Affenzeller, Michael.
Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Hrsg. / Roberto Moreno-Diaz; Alexis Quesada-Arencibia; Franz Pichler. Springer, 2018. S. 408-415 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 10671 LNCS).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

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AU - Werth, Bernhard

AU - Pitzer, Erik

AU - Affenzeller, Michael

N1 - Funding Information: Acknowledgements. This work was supported by the European Union through the European Regional Development Fund (EFRE; further information on IWB/EFRE is available at www.efre.gv.at). Funding Information: This work was supported by the European Union through the European Regional Development Fund (EFRE; further information on IWB/EFRE is available at www.efre.gv.at). Publisher Copyright: © Springer International Publishing AG 2018.

PY - 2018

Y1 - 2018

N2 - Much of the literature found on surrogate models presents new approaches or algorithms trying to solve black-box optimization problems with as few evaluations as possible. The comparisons of these new ideas with other algorithms are often very limited and constrained to non-surrogate algorithms or algorithms following very similar ideas as the presented ones. This work aims to provide both an overview over the most important general trends in surrogate assisted optimization and a more wide-spanning comparison in a fair environment by reimplementation within the same software framework.

AB - Much of the literature found on surrogate models presents new approaches or algorithms trying to solve black-box optimization problems with as few evaluations as possible. The comparisons of these new ideas with other algorithms are often very limited and constrained to non-surrogate algorithms or algorithms following very similar ideas as the presented ones. This work aims to provide both an overview over the most important general trends in surrogate assisted optimization and a more wide-spanning comparison in a fair environment by reimplementation within the same software framework.

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Werth B , Pitzer E , Affenzeller M. A fair performance comparison of different surrogate optimization strategies. in Moreno-Diaz R, Quesada-Arencibia A, Pichler F, Hrsg., Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Springer. 2018. S. 408-415. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-74718-7_49

A fair performance comparison of different surrogate optimization strategies

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