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Title:Per-run algorithm performance improvement forecasting using exploratory landscape analysis features : a case study in single-objective black-box optimization
Authors:ID Korošec, Peter, Institut Jožef Stefan (Author)
ID Eftimov, Tome, Institut Jožef Stefan (Author)
Files:URL URL - Source URL, visit https://dl.acm.org/doi/10.1145/3638530.3654304
 
.pdf PDF - Presentation file, download (224,08 KB)
MD5: 305664D03BD3FC5506822A9A9A9393B9
 
Language:English
Typology:1.08 - Published Scientific Conference Contribution
Organization:Logo IJS - Jožef Stefan Institute
Keywords:black-box optimization, exploratory landscape analysis, single-objective optimization, forecasting performance
Publication status:Published
Publication version:Author Accepted Manuscript
Publication date:01.08.2024
Publisher:ACM
Year of publishing:2024
Number of pages:Str. 571-574
Source:ZDA
UDC:004.8
DOI:10.1145/3638530.3654304 New window
COBISS.SI-ID:207112195 New window
Copyright:Copyright © 2024 Copyright held by the owner/author(s).
Note:Nasl. z nasl. zaslona; Opis vira z dne 11. 9. 2024;
Publication date in DiRROS:08.11.2024
Views:21
Downloads:16
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Record is a part of a monograph

Title:GECCO'24 companion : proceedings of the 2024 Genetic and Evolutionary Computation Conference
Place of publishing:New York
Publisher:The Association for Computing Machinery
ISBN:979-8-4007-0495-6
COBISS.SI-ID:205752067 New window

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:01.08.2024
Applies to:Author-Accepted Version of the paper

Secondary language

Language:Slovenian
Title:Per-run algorithm performance improvement forecasting using exploratory landscape analysis features: a case study in single-objective black-box optimization
Keywords:izbira algoritmov


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