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On genetic programming representations and fitness functions for interpretable dimensionality reduction.

, , , and . GECCO, page 458-466. ACM, (2022)

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Towards a Real-Time Minimally-Invasive Vascular Intervention Simulation System., , and . IEEE Trans. Medical Imaging, 26 (1): 128-132 (2007)Challenges in Benchmarking Optimization Heuristics (Dagstuhl Seminar 23251)., , , , and . Dagstuhl Reports, 13 (6): 55-80 (2023)Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation., , and . PPSN (2), volume 13399 of Lecture Notes in Computer Science, page 179-192. Springer, (2022)The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization.. GECCO, page 351-358. ACM, (2010)Exploiting gradient information in numerical multi--objective evolutionary optimization., and . GECCO, page 755-762. ACM, (2005)Model-based evolutionary algorithms: GECCO 2017 tutorial., and . GECCO (Companion), page 545-575. ACM, (2017)On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs.. GECCO, page 389-396. ACM, (2009)The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective., and . GECCO (Companion), page 663-670. ACM, (2011)A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions., , , and . CoRR, (2019)Learning the Neighborhood with the Linkage Tree Genetic Algorithm., and . LION, volume 7219 of Lecture Notes in Computer Science, page 491-496. Springer, (2012)