Sammelbandbeitrag - Wissenschaftlicher Artikel | 2019 | Peer reviewed

Comparison of Reference- and Hypervolume-Based MOEA on Solving Many-Objective Optimization Problems

Autor*innen

Irawan, Dani ; Naujoks, Boris

Sammel-/ Konferenzband

Evolutionary Multi-Criterion Optimization

DOI

10.1007/978-3-030-12598-1_22

ISBN-13

9783030125974

Weitere Details

Sprache

englisch

Darstellungsform

Text

Seitenbereich

266 - 277

Zitierstile

Irawan, D., & Naujoks, B. (2019). Comparison of Reference- and Hypervolume-Based MOEA on Solving Many-Objective Optimization Problems. In K. Deb, E. Goodman, C. A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed, Evolutionary Multi-Criterion Optimization (pp. 266–277). Cham: Springer International Publishing. doi:10.1007/978-3-030-12598-1_22

In die Zwischenablage kopieren

Irawan, D. and Naujoks, B., 2019. Comparison of Reference- and Hypervolume-Based MOEA on Solving Many-Objective Optimization Problems. In: Evolutionary Multi-Criterion Optimization. Cham: Springer International Publishing, pp.266–277.

In die Zwischenablage kopieren

Irawan, Dani & Naujoks, Boris 2019. Comparison of Reference- and Hypervolume-Based MOEA on Solving Many-Objective Optimization Problems. In Evolutionary Multi-Criterion Optimization. Cham: Springer International Publishing, 266–277.

American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard