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Title: Solving min-max optimisation problems by means of bilevel evolutionary algorithms: a preliminary study Authors: ID Antoniou, Margarita (Author) ID Papa, Gregor (Author) Files: PDF - Presentation file, download (414,88 KB) MD5: E95A472800A75901F2F9E2D6A404FB1A   Language: English Typology: 1.08 - Published Scientific Conference Contribution Organization: IJS - Jožef Stefan Institute Publication status: Published Publication version: Author Accepted Manuscript Year of publishing: 2020 Number of pages: Str. 187-188 PID: 20.500.12556/DiRROS-13908  UDC: 004.5 COBISS.SI-ID: 24385795  Note: Nasl. z nasl. zaslona; Opis vira z dne 4. 8. 2020; Publication date in DiRROS: 22.04.2021 Views: 1560 Downloads: 538 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 monograph

Title:	GECCO '20 Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, July 2020, Cancún, Mexico
Place of publishing:	New York
Publisher:	ACM = Association for Computing Machinery
Year of publishing:	2020
ISBN:	978-1-4503-7127-8
COBISS.SI-ID:	22073859

Document is financed by a project

Funder:	EC - European Commission
Funding programme:	H2020
Project number:	722734
Name:	Uncertainty Treatment and OPtimisation In Aerospace Engineering
Acronym:	UTOPIAE

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Funder:	ARRS - Slovenian Research Agency
Project number:	P2-0098
Name:	Računalniške strukture in sistemi

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