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Title: Preferred solutions of the ground station scheduling problem using NSGA-III weighted reference points selection Authors: ID Antoniou, Margarita (Author) ID Petelin, Gašper (Author) ID Papa, Gregor (Author) Files: PDF - Presentation file, download (4,10 MB) MD5: CFDCBCEB4F5D3138EB4F5D5F11988314   Language: English Typology: 1.08 - Published Scientific Conference Contribution Organization: IJS - Jožef Stefan Institute Publication status: Published Publication version: Version of Record Year of publishing: 2021 Number of pages: Str. 1840-1847 PID: 20.500.12556/DiRROS-14294  UDC: 004.8 COBISS.SI-ID: 76587267  Note: Nasl. z nasl. zaslona; Opis vira z dne 11. 8. 2021; Publication date in DiRROS: 22.09.2021 Views: 1397 Downloads: 647 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:	2021 IEEE Congress on Evolutionary Computation, IEEE CEC 2021, June 28th and July 1st 2021, Kraków, Poland
Place of publishing:	Piscataway
Publisher:	IEEE = Institute of Electrical and Electronics Engineers
Year of publishing:	2021
ISBN:	978-1-7281-8392-3
COBISS.SI-ID:	72728067

Document is financed by a project

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

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

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