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Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization

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Initial design strategies and their effects on sequential model-based optimization, , and . Proceedings of the 2020 Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (June 2020)Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization, , , and . (2024)Evolving sampling strategies for one-shot optimization tasks, , , , and . Parallel Problem Solving from Nature -- PPSN XVI, Springer International Publishing, Cham, (2020)Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization, , , and . Proceedings of the Genetic and Evolutionary Computation Conference, page 1007 -- 1016. United States of America, Association for Computing Machinery (ACM), (Jul 14, 2024)Publisher Copyright: © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM..