20.500.12556/DiRROS-25631 A survey of features used for representing black-box single-objective continuous optimization 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. problem landscape features algorithm features problem -algorithm trajectory features problem classification algorithm selection algorithm configuration complementarity analysis značilke algortima značilke trajektorije problem-algoritem klasifikacija problemov izbor algoritma konfiguracija algoritma analiza komplementarnosti true false true Elsevier Nizozemska Angleški jezik Slovenski jezik © 2026 The Authors. Neznano 2026-01-26 11:44:01 2026-01-26 11:44:01 2026-01-27 03:53:58 0000-00-00 00:00:00 2025 0 0 Nasl. z nasl. zaslona; Opis vira z dne 21. 1. 2026; Soavtorji: Ana Nikolikj, Gašper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov; str. 1-22 Vol. 101, [article no.] 102288 Feb. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-08-01 2026-01-11 2026-01-14 004.8 2210-6510 10.1016/j.swevo.2026.102288 265634819 https://www.sciencedirect.com/science/article/pii/S2210650226000088?via%3Dihub 1 ef36c6bd-faa3-11f0-a15d-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=38873 RAZ_Cenikj_Gjorgjina_2025.pdf RAZ_Cenikj_Gjorgjina_2025.pdf 1 E46E31E2755F4B0D97D260B721D1B344 18417159772cddc3957cefaebfb0b8dd04726b7d7d43f381e43140cab60c714f 604755d0-faa4-11f0-a15d-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=38876 Institut Jožef Stefan 0 0 0