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Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation.

, , and . CEC, page 2292-2299. IEEE, (2019)

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Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022., , , and . GECCO Companion, page 51-52. ACM, (2022)Benchmarking and analyzing iterative optimization heuristics with IOHprofiler., , , , , and . GECCO Companion, page 938-945. ACM, (2023)A hybrid algorithm for a vehicle routing problem with realistic constraints., , , , and . Inf. Sci., (2017)Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis., , and . CoRR, (2024)Benchmarking discrete optimization heuristics with IOHprofiler., , , , , and . GECCO (Companion), page 1798-1806. ACM, (2019)Data sets for the study Äutomated Configuration of Genetic Algorithms by Tuning for Anytime Performance."., , , and . (May 2021)When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems., , , , , and . GECCO, page 856-863. ACM, (2023)Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance., , , and . CoRR, (2021)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)Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones., , , , and . GECCO, page 951-958. ACM, (2018)