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Analysis of population-based evolutionary algorithms for the vertex cover problem.

, , and . IEEE Congress on Evolutionary Computation, page 1563-1570. IEEE, (2008)

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How Theoretical Analyses Can Impact Practical Applications of Evolutionary Computation.. IJCCI, page 5. ScitePress, (2019)On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation., , and . AAAI, page 2322-2329. AAAI Press, (2019)Runtime analysis of population-based evolutionary algorithms., and . GECCO Companion, page 1398-1426. ACM, (2022)Tutorials at PPSN 2016., , , , , , , , , and 19 other author(s). PPSN, volume 9921 of Lecture Notes in Computer Science, page 1012-1022. Springer, (2016)Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation., and . Algorithmica, 59 (3): 369-386 (2011)Analysis of population-based evolutionary algorithms for the vertex cover problem., , and . IEEE Congress on Evolutionary Computation, page 1563-1570. IEEE, (2008)On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions., and . AAAI, page 1363-1370. AAAI Press, (2018)When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms., , and . Theor. Comput. Sci., (2020)Computational Complexity Analysis of Genetic Programming., and . Theory of Evolutionary Computation, Springer, (2020)Runtime analysis of evolutionary algorithms: basic introduction., and . GECCO Companion, page 399-425. ACM, (2021)