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Dynamic compartmental models for algorithm analysis and population size estimation.

, , , , , and . GECCO (Companion), page 2044-2047. ACM, (2019)

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BCMA-ES: A Bayesian approach to CMA-ES., , , and . CoRR, (2019)Combinatorial Surrogate-Assisted Optimization for Bus Stops Spacing Problem., , , and . EA, volume 12052 of Lecture Notes in Computer Science, page 42-52. Springer, (2019)MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition: Application to Nuclear Reactor Control Optimization., , and . IJCCI, page 75-85. SCITEPRESS, (2023)Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems., , , , and . GECCO, page 421-429. ACM, (2021)Bayesian CMA-ES: a new approach., , and . GECCO Companion, page 203-204. ACM, (2020)Composition of weighted finite transducers in MapReduce., , and . J. Big Data, 8 (1): 1-15 (2021)Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions., , , , and . Appl. Soft Comput., (March 2023)Estimating Relevance of Variables for Effective Recombination., , , , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 411-423. Springer, (2019)PUBOi: A Tunable Benchmark with Variable Importance., , and . EvoCOP, volume 13222 of Lecture Notes in Computer Science, page 175-190. Springer, (2022)Clarifying the Difference in Local Optima Network Sampling Algorithms., , and . EvoCOP, volume 11452 of Lecture Notes in Computer Science, page 163-178. Springer, (2019)