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Benchmarking and analyzing iterative optimization heuristics with IOHprofiler., , , , , and . GECCO Companion, page 938-945. ACM, (2023)Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite., , , , and . GECCO Companion, page 2346-2353. ACM, (2023)Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms., , , and . CoRR, (2024)Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset., , , , and . (January 2022)Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler., , , , and . CoRR, (2024)Transfer Learning of Surrogate Models via Domain Affine Transformation., , , , and . GECCO, ACM, (2024)Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332)., , , , and . Dagstuhl Reports, 13 (8): 46-70 (2023)BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances., , , and . EvoApplications@EvoStar, volume 13989 of Lecture Notes in Computer Science, page 380-395. Springer, (2023)Challenges of ELA-Guided Function Evolution Using Genetic Programming., , , , , , and . IJCCI, page 119-130. SCITEPRESS, (2023)Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms., , , , and . GECCO, page 867-875. ACM, (2022)