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An Analysis of Phenotypic Diversity in Multi-solution Optimization

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Metadaten
Document Type:Conference Object
Language:English
Author:Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
Parent Title (English):Filipič, Minisci et al. (Eds.): Bioinspired Optimization Methods and Their Applications. 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings
Pagenumber:13
First Page:43
Last Page:55
ISBN:978-3-030-63709-5
DOI:https://doi.org/10.1007/978-3-030-63710-1_4
Publisher:Springer
Place of publication:Cham
Date of first publication:2020/11/16
Tag:Autoencoder; Evolutionary computation; Multi-objective optimization; Multimodal optimization; Quality diversity
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Projects:AErOMAt Automatisiertes Entwickeln aerodynamischer Strukturen und Fahrzeuge mithilfe evolutionärer Optimierung und Surrogatmodellierung (DE/BMBF/03FH012PX5,13FH012PX5)
Entry in this database:2020/11/20