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Ants easily solve stochastic shortest path problems., , and . GECCO, page 17-24. ACM, (2012)The (1+λ) Evolutionary Algorithm with Self-Adjusting Mutation Rate., , , and . Algorithmica, 81 (2): 593-631 (2019)Lower Bounds for Non-Elitist Evolutionary Algorithms via Negative Multiplicative Drift.. Evol. Comput., 29 (2): 305-329 (2021)Runtime Analysis of a Heavy-Tailed (1+(λ , λ )) Genetic Algorithm on Jump Functions., and . PPSN (2), volume 12270 of Lecture Notes in Computer Science, page 545-559. Springer, (2020)k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation., , and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 824-834. Springer, (2016)A gentle introduction to theory (for non-theoreticians).. GECCO Companion, page 373-403. ACM, (2020)Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover., and . AAAI, page 12399-12407. AAAI Press, (2023)Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions., , , and . EvoApplications, volume 12694 of Lecture Notes in Computer Science, page 17-33. Springer, (2021)Precise runtime analysis for plateau functions: (hot-off-the-press track at GECCO 2022)., and . GECCO Companion, page 13-14. ACM, (2022)Black-box complexity: from complexity theory to playing mastermind., and . GECCO (Companion), page 617-640. ACM, (2013)