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IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics., , , , and . ACM Trans. Evol. Learn. Optim., 2 (1): 3:1-3:29 (2022)MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts., , , and . CoRR, (2023)Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems., , , , and . CoRR, (2024)Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset., , , , and . (January 2022)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)The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond., , , , and . Evol. Comput., 32 (1): 3-48 (2024)BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances., , , and . CoRR, (2022)The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond., , , , and . CoRR, (2022)Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332)., , , , and . Dagstuhl Reports, 13 (8): 46-70 (2023)