Journalartikel - Wissenschaftlicher Artikel | 2017

Model-based Methods for Continuous and Discrete Global Optimization

Autor*innen

Bartz-Beielstein, Thomas ; Zaefferer, Martin

Zeitschrift

Applied soft computing

DOI

10.1016/j.asoc.2017.01.039

Weitere Details

Sprache

englisch

Darstellungsform

Text

Band

Seitenbereich

154 - 167

Zitierstile

Bartz-Beielstein, T., & Zaefferer, M. (2017). Model-based Methods for Continuous and Discrete Global Optimization. Applied Soft Computing, 55, 154–167. doi:10.1016/j.asoc.2017.01.039

In die Zwischenablage kopieren

Bartz-Beielstein, T. and Zaefferer, M., 2017. Model-based Methods for Continuous and Discrete Global Optimization. Applied soft computing, 55, pp.154–167.

In die Zwischenablage kopieren

Bartz-Beielstein, Thomas & Zaefferer, Martin 2017. Model-based Methods for Continuous and Discrete Global Optimization. Applied soft computing 55, 154–167.

In die Zwischenablage kopieren

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Zitierstile

Bartz-Beielstein, T., & Zaefferer, M. (2017). Model-based Methods for Continuous and Discrete Global Optimization. Applied Soft Computing, 55, 154–167. doi:10.1016/j.asoc.2017.01.039

In die Zwischenablage kopieren

Bartz-Beielstein, T. and Zaefferer, M., 2017. Model-based Methods for Continuous and Discrete Global Optimization. Applied soft computing, 55, pp.154–167.

In die Zwischenablage kopieren

Bartz-Beielstein, Thomas & Zaefferer, Martin 2017. Model-based Methods for Continuous and Discrete Global Optimization. Applied soft computing 55, 154–167.

In die Zwischenablage kopieren

Download
RDF/XML-Format
JSON-LD-Format
Turtle-Format
N3-Format

American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard