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Data-Efficient Design Exploration through Surrogate-Assisted Illumination

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Metadaten
Document Type:Article
Language:English
Author:Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
Parent Title (English):Evolutionary Computation
Volume:26
Issue:3
First Page:381
Last Page:410
ISSN:1063-6560
DOI:https://doi.org/10.1162/evco_a_00231
ArXiv Id:http://arxiv.org/abs/1806.05865
PMID:https://pubmed.ncbi.nlm.nih.gov/29883202
Publisher:MIT Press
Date of first publication:2018/09/04
Funding:This work received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement number 637972, project "ResiBots") and the German Federal Ministry of Education and Research (BMBF) under the Forschung an Fachhochschulen mit Unternehmen programme (grant agreement number 03FH012PX5, project "Aeromat").
Keywords:Computer Automated Design; MAP-Elites; Quality Diversity; Surrogate Modeling
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)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2018/06/13