ǂa ǂcase study in single-objective black-box optimization
Peter Korošec (Author), Tome Eftimov (Author)

Abstract

Per-run algorithm performance improvement forecasting using exploratory landscape analysis features

Keywords

izbira algoritmov;black-box optimization;exploratory landscape analysis;single-objective optimization;forecasting performance;

Data

Language: English
Year of publishing:
Typology: 1.08 - Published Scientific Conference Contribution
Organization: IJS - Jožef Stefan Institute
Publisher: ACM
UDC: 004.8
COBISS: 207112195 Link will open in a new window
Views: 74
Downloads: 47
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary title: Per-run algorithm performance improvement forecasting using exploratory landscape analysis features: a case study in single-objective black-box optimization
Secondary keywords: Strojno učenje;Računalniški algoritmi;
Source comment: Nasl. z nasl. zaslona; Opis vira z dne 11. 9. 2024;
Pages: Str. 571-574
DOI: 10.1145/3638530.3654304
ID: 25384846
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