Sammelbandbeitrag - Wissenschaftlicher Artikel | 2021 | Peer reviewed

An Introduction to Many-Objective Evolutionary Optimization

Autor*innen

Irawan, Dani ; Naujoks, Boris

Sammel-/ Konferenzband

Optimization Under Uncertainty with Applications to Aerospace Engineering

DOI

10.1007/978-3-030-60166-9_8

ISBN-13

9783030601652

Weitere Details

Sprache

englisch

Darstellungsform

Text

Seitenbereich

269 - 305

Schlüsselwörter

Benchmarking , Evolutionary algorithms , High-dimension visualization , Many-objective optimization , Surrogate model

Zitierstile

Irawan, D., & Naujoks, B. (2021). An Introduction to Many-Objective Evolutionary Optimization. In M. Vasile, Optimization Under Uncertainty with Applications to Aerospace Engineering (1st edition, pp. 269–305). Cham: Springer. doi:10.1007/978-3-030-60166-9_8

In die Zwischenablage kopieren

Irawan, D. and Naujoks, B., 2021. An Introduction to Many-Objective Evolutionary Optimization. In: Optimization Under Uncertainty with Applications to Aerospace Engineering, 1st edition. Cham: Springer, pp.269–305.

In die Zwischenablage kopieren

Irawan, Dani & Naujoks, Boris 2021. An Introduction to Many-Objective Evolutionary Optimization. In Optimization Under Uncertainty with Applications to Aerospace Engineering. Cham: Springer, 269–305.

American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard