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Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning.

, , , and . GECCO, page 1041-1048. ACM, (2017)

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Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms., , and . Advances in Metaheuristics for Hard Optimization, Springer, (2008)Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy., , , , , , , , , and 4 other author(s). CoRR, (2020)Data variation-aware medical image segmentation., , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Computationally Intelligent Online Dynamic Vehicle Routing by Explicit Load Prediction in an Evolutionary Algorithm., and . PPSN, volume 4193 of Lecture Notes in Computer Science, page 312-321. Springer, (2006)Inventory management and the impact of anticipation in evolutionary stochastic online dynamic optimization., and . IEEE Congress on Evolutionary Computation, page 268-275. IEEE, (2007)Model-Based Evolutionary Algorithms., and . GECCO (Companion), page 385-412. ACM, (2016)Model-Based Evolutionary Algorithms., and . GECCO (Companion), page 93-120. ACM, (2015)Learning and exploiting mixed variable dependencies with a model-based EA., , and . CEC, page 4382-4389. IEEE, (2016)Efficiency enhancements for evolutionary capacity planning in distribution grids., , , and . GECCO (Companion), page 1189-1196. ACM, (2014)Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression., and . GECCO Companion, page 2289-2297. ACM, (2022)