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Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking.

, , , , , , , and . IEEE Trans. Evol. Comput., 26 (3): 490-500 (2022)

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Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management., , and . CAP, page 183-184. PUG, (2005)Lower Bounds for Comparison Based Evolution Strategies Using VC-dimension and Sign Patterns., and . Algorithmica, 59 (3): 387-408 (2011)T2FS-Based Adaptive Linguistic Assessment System for Semantic Analysis and Human Performance Evaluation on Game of Go., , , , and . IEEE Trans. Fuzzy Syst., 23 (2): 400-420 (2015)Toward Optimal Run Racing: Application to Deep Learning Calibration., , , , , , and . CoRR, (2017)Slightly Beyond Turing's Computability for Studying Genetic Programming.. MCU, volume 4664 of Lecture Notes in Computer Science, page 279-290. Springer, (2007)Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper., and . LION, volume 7219 of Lecture Notes in Computer Science, page 220-234. Springer, (2012)On Averaging the Best Samples in Evolutionary Computation., , , , and . PPSN (2), volume 12270 of Lecture Notes in Computer Science, page 661-674. Springer, (2020)Designing an Optimal Search Algorithm with Respect to Prior Information., and . Theory and Principled Methods for the Design of Metaheuristics, Springer, (2014)Deep Learning for General Game Playing with Ludii and Polygames., , , and . CoRR, (2021)Fairness in generative modeling., , , , , , and . CoRR, (2022)