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Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances., , , , , и . GECCO, стр. 529-537. ACM, (2023)Benchmarking algorithm portfolio construction methods., , и . GECCO Companion, стр. 499-502. ACM, (2022)Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems., , и . AI (1), том 14471 из Lecture Notes in Computer Science, стр. 429-441. Springer, (2023)Bifidelity Surrogate Modelling: Showcasing the Need for New Test Instances., , и . INFORMS J. Comput., 34 (6): 3007-3022 (2022)Examining algorithm behavior using recurrence quantification and landscape analyses.. GECCO Companion, стр. 1658-1665. ACM, (2022)Analyzing randomness effects on the reliability of exploratory landscape analysis., , и . Nat. Comput., 21 (2): 131-154 (2022)Revisiting where are the hard knapsack problems? via Instance Space Analysis., , и . Comput. Oper. Res., (2021)Characterising harmful data sources when constructing multi-fidelity surrogate models., , и . CoRR, (2024)Decision support systems for the automatic selection of algorithms for continuous optimization problems.. University of Melbourne, Australia, (2013)base-search.net (ftumelbourne:oai:minerva-access.unimelb.edu.au:11343/39747).