| Title: | A survey of features used for representing black-box single-objective continuous optimization |
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| Authors: | ID Cenikj, Gjorgjina, Institut "Jožef Stefan" (Author)
ID Nikolikj, Ana, Institut "Jožef Stefan" (Author)
ID Petelin, Gašper, Institut "Jožef Stefan" (Author)
ID Van Stein, Niki (Author)
ID Doerr, Carola (Author)
ID Eftimov, Tome, Institut "Jožef Stefan" (Author) |
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| Files: |  URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S2210650226000088?via%3Dihub
 PDF - Presentation file, download (2,54 MB)
MD5: E46E31E2755F4B0D97D260B721D1B344
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  IJS - Jožef Stefan Institute
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| Abstract: | This survey examines key advancements in designing features to represent optimization problem instances, algorithm instances, and their interactions within the context of single-objective continuous black-box optimization. These features support machine learning tasks such as algorithm selection, algorithm configuration, and problem classification, and they are also used to evaluate the complementarity of benchmark problem sets. We provide a comprehensive overview of problem landscape features, algorithm features, high-level problem-algorithm interaction features, and trajectory features, including the latest works from the past five years. We also point out limitations of the current state-of-the-art and suggest directions for future research. |
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| Keywords: | problem landscape features, algorithm features, problem -algorithm trajectory features, problem classification, algorithm selection, algorithm configuration, complementarity analysis |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 01.08.2025 |
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| Article acceptance date: | 11.01.2026 |
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| Publication date: | 14.01.2026 |
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| Publisher: | Elsevier |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-22 |
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| Numbering: | Vol. 101, [article no.] 102288 |
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| Source: | Nizozemska |
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| PID: | 20.500.12556/DiRROS-25631  |
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| UDC: | 004.8 |
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| ISSN on article: | 2210-6510 |
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| DOI: | 10.1016/j.swevo.2026.102288 |
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| COBISS.SI-ID: | 265634819 |
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| Copyright: | © 2026 The Authors. |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 21. 1. 2026;
Soavtorji: Ana Nikolikj, Gašper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov;
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| Publication date in DiRROS: | 26.01.2026 |
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| Views: | 65 |
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| Downloads: | 32 |
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| Metadata: |    |
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