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Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251).

, , , , and . Dagstuhl Reports, 13 (6): 55-80 (2023)

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COCO: a platform for comparing continuous optimizers in a black-box setting., , , , , and . Optim. Methods Softw., 36 (1): 114-144 (2021)Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions., , , and . SIAM J. Optim., 32 (2): 1402-1429 (2022)Asymptotic estimations of a perturbed symmetric eigenproblem., , and . CoRR, (2024)COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite., , , , , , and . CoRR, (2019)On Bi-objective Convex-Quadratic Problems., , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 3-14. Springer, (2019)Investigating Degenerate Code and Gene Dependency in the GAuGE System, , and . GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, page 150--157. Chigaco, AAAI, (11 July 2003)Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework., , , and . GECCO, page 638-646. ACM, (2019)Benchmarking: state-of-the-art and beyond., and . GECCO Companion, page 339-340. ACM, (2021)Contributions théoriques et numériques à l'optimisation continue par Algorithmes Evolutionnaires.. Pierre and Marie Curie University, Paris, France, (2004)Theory of Evolution Strategies: A New Perspective., and . Theory of Randomized Search Heuristics, volume 1 of Series on Theoretical Computer Science, World Scientific, (2011)