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Title: Characterization of constrained continuous multiobjective optimization problems : a feature space perspective Authors: ID Vodopija, Aljoša (Author) ID Tušar, Tea (Author) ID Filipič, Bogdan (Author) Files: PDF - Presentation file, download (3,25 MB) MD5: C3F362D7D685E7CE87B945CEC7AA1C96   Language: English Typology: 1.01 - Original Scientific Article Organization: IJS - Jožef Stefan Institute Keywords: constrained multiobjective optimization, problem landscape, exploratory landscape analysis, test problem, benchmarking Publication status: Published Publication version: Version of Record Year of publishing: 2022 Number of pages: str. 244-262 Numbering: Vol. 607 PID: 20.500.12556/DiRROS-15177  UDC: 519.8 ISSN on article: 0020-0255 DOI: 10.1016/j.ins.2022.05.106  COBISS.SI-ID: 111040259  Publication date in DiRROS: 21.06.2022 Views: 964 Downloads: 430 Metadata:    Cite this work Plain text BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago 17th Author-Date Harvard IEEE ISO 690 MLA Vancouver : Copy citation

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Record is a part of a journal

Title:	Information sciences
Shortened title:	Inf. sci.
Publisher:	North-Holland
ISSN:	0020-0255
COBISS.SI-ID:	25613056

Document is financed by a project

Funder:	EC - European Commission
Funding programme:	H2020
Project number:	692286
Name:	Synergy for Smart Multi-Objective Optimisation
Acronym:	SYNERGY

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Funder:	ARRS - Slovenian Research Agency
Project number:	P2-0209
Name:	Umetna inteligenca in inteligentni sistemi

Licences

License:	CC BY 4.0, Creative Commons Attribution 4.0 International
Link:	http://creativecommons.org/licenses/by/4.0/
Description:	This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:	01.06.2022

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