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Title:Using well-understood single-objective functions in multiobjective black-box optimization test suites
Authors:ID Brockhoff, Dimo (Author)
ID Auger, Anne (Author)
ID Hansen, Nikolaus (Author)
ID Tušar, Tea (Author)
Files:.pdf PDF - Presentation file, download (9,74 MB)
MD5: AEECA95FCBEF6E34733F42C57A5DAE15
 
URL URL - Source URL, visit https://direct.mit.edu/evco/article/30/2/165/107813/Using-Well-Understood-Single-Objective-Functions?searchresult=1
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Publication status:Published
Publication version:Author Accepted Manuscript
Year of publishing:2021
Number of pages:29 str.
PID:20.500.12556/DiRROS-15339 New window
UDC:004.8
ISSN on article:1063-6560
DOI:10.1162/evco_a_00298 New window
COBISS.SI-ID:83048195 New window
Copyright:© 2021 Massachusetts Institute of Technology
Publication date in DiRROS:01.08.2022
Views:855
Downloads:487
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Record is a part of a journal

Title:Evolutionary computation
Shortened title:Evol. comput.
Publisher:MIT Press
ISSN:1063-6560
COBISS.SI-ID:3734055 New window

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
Funder:ARRS - Slovenian Research Agency
Funding programme:Programska skupina
Project number:P2-0209
Name:Umetna inteligenca in inteligentni sistemi
Funder:ARRS - Slovenian Research Agency
Funding programme:Raziskovalni projekti
Project number:Z2-8177
Name:Vključevanje realnih problemov v primerjavo večkriterijskih optimizacijskih algoritmov
Funder:Other - Other funder or multiple funders
Funding programme:French National Research Agency
Project number:ANR-12-MONU-0009
Acronym:NumBBO

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