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Designing Air Flow with Surrogate-Assisted Phenotypic Niching

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Metadaten
Document Type:Conference Object
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
Pagenumber: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.
Tag:Bayesian optimization; Computational fluid dynamics; Evolutionary computation; Phenotypic niching; Quality diversity; Surrogate models
Departments, institutes and facilities:Fachbereich Informatik
Fachbereich Elektrotechnik, Maschinenbau, Technikjournalismus
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2020/09/05