Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach

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Title:	Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach
Authors:	ID Eftimov, Tome (Author) ID Korošec, Peter (Author) ID Koroušić-Seljak, Barbara (Author)
Files:	PDF - Presentation file, download (639,92 KB) MD5: 19273130C7546DCE811DCA9937CF6611 PID: 20.500.12556/dirros/537fb6fe-549d-475a-8a2e-5b2d489815bf
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:	2017
Number of pages:	Str. 2801-2809
PID:	20.500.12556/DiRROS-9333
UDC:	004.8
COBISS.SI-ID:	30947623
Note:	Nasl. z nasl. zaslona;
Publication date in DiRROS:	06.03.2019
Views:	3216
Downloads:	1394
Metadata:
:	EFTIMOV, Tome, KOROŠEC, Peter and KOROUŠIĆ-SELJAK, Barbara, 2017, Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach. In : 2017 IEEE Symposium Series on Computational Intelligence, November 27 to December 1, 2017, (SSCI), Honolulu, Hawai [online]. Published Scientific Conference Contribution. Danvers. 2017. p. 2801–2809. [Accessed 7 April 2025]. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=9333 Copy citation

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Title:	2017 IEEE Symposium Series on Computational Intelligence, November 27 to December 1, 2017, (SSCI), Honolulu, Hawai
Place of publishing:	Danvers
Publisher:	IEEE = Institute of Electrical and Electronics Engineers
Year of publishing:	2017
ISBN:	978-1-5386-4058-6
COBISS.SI-ID:	30947367

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