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Using Affine Combinations of BBOB Problems for Performance Assessment - Code and Data.

, , and . (February 2023)

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Non-elitist Selection Can Improve the Performance of Irace., , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 32-45. Springer, (2022)Data Sets for the study "Non-Elitist Selection Can Improve the Performance of Irace"., , , and . (April 2022)The Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm withConfigurable Crossover Probability"., , , and . (April 2020)MA-BBOB - Reproducibility and Additional Data., , , and . (May 2024)When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems., , , , , and . GECCO, page 856-863. ACM, (2023)Lognormal Mutations and their Use in Detecting Surreptitious Fake Images., , , , , , , and . Trans. Mach. Learn. Res., (2025)FastLEC: Parallel Datapath Equivalence Checking with Hybrid Engines., , , and . CoRR, (December 2025)Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis., , and . AAAI, page 27153-27160. AAAI Press, (2025)Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking., , , and . GECCO, page 68-77. ACM, (2026)IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics., , , , , and . CoRR, (2021)