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Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm.

, , and . PPSN (2), volume 12270 of Lecture Notes in Computer Science, page 485-499. Springer, (2020)

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Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete Settings., and . GECCO, page 1335-1342. ACM, (2015)OneMax in Black-Box Models with Several Restrictions., and . GECCO, page 1431-1438. ACM, (2015)Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler., , , , and . PPSN (2), volume 15149 of Lecture Notes in Computer Science, page 20-35. Springer, (2024)DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems., , , , and . GECCO, page 813-821. ACM, (2023)Using Affine Combinations of BBOB Problems for Performance Assessment - Code and Data., , and . (February 2023)Benchmarking Dynamic Binary Value Problems with IOHprofiler - Reproducibility files., , , , and . (April 2024)Benchmarking and analyzing iterative optimization heuristics with IOHprofiler., , , , , and . GECCO Companion, page 938-945. ACM, (2023)Benchmarking discrete optimization heuristics with IOHprofiler., , , , , and . Appl. Soft Comput., (2020)Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm., , and . PPSN (2), volume 12270 of Lecture Notes in Computer Science, page 485-499. Springer, (2020)High Dimensional Bayesian Optimization Assisted by Principal Component Analysis., , , , and . PPSN (1), volume 12269 of Lecture Notes in Computer Science, page 169-183. Springer, (2020)