Designing Air Flow with Surrogate-Assisted Phenotypic Niching
Document Type: | Conference Object |
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Language: | English |
Author: | Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck |
Parent Title (English): | Bäck, Preuss et al. (Eds.): Parallel Problem Solving from Nature – PPSN XVI. 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I. Lecture Notes in Computer Science (LNCS) vol. 12269 |
Number of pages: | 14 |
First Page: | 140 |
Last Page: | 153 |
ISBN: | 978-3-030-58111-4 |
DOI: | https://doi.org/10.1007/978-3-030-58112-1_10 |
Publisher: | Springer |
Place of publication: | Cham |
Date of first publication: | 2020/08/31 |
Note: | This work was funded by the Ministry for Culture and Science of the state of Northrhine-Westphalia (grant agreement no. 13FH156IN6) and the German Research Foundation (DFG) project FO 674/17-1. |
Keyword: | Bayesian optimization; Computational fluid dynamics; Evolutionary computation; Phenotypic niching; Quality diversity; Surrogate models |
Departments, institutes and facilities: | Fachbereich Informatik |
Fachbereich Ingenieurwissenschaften und Kommunikation | |
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) | |
EI-HPC - Enabling Infrastructure for HPC-Applications (DE/BMBF/13FH156IN6) | |
Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Entry in this database: | 2020/09/05 |