Titlebook: Genetic Programming; 25th European Confer Eric Medvet,Gisele Pappa,Bing Xue Conference proceedings 2022 The Editor(s) (if applicable) and T

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Conference proceedings 2022ual Event, in April 2022, co-located with the Evo*2022 events, EvoCOP, EvoMUSART, and EvoApplications. The 12 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 35 submissions. The wide range of topics in this volume reflects the current state of

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Das einfache und emotionale Kauferlebnis with other state-of-the-art learners, like decision trees, random forests and extreme gradient boosting. Despite the fact that SLUG is not the most efficient method in terms of training time, it is confirmed as the most effective method in terms of accuracy.

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https://doi.org/10.1007/978-3-663-04542-7ants, depending on the development schedule. We experiment with different schedules and show that, similarly to living organisms, artificial agents benefit from development occurring at early stages of life more than from development lasting for their entire life.

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https://doi.org/10.1007/978-3-7091-3382-8issues of multitask linear genetic programming. The experiments show that the linear genetic programming within multitask frameworks have a significantly better performance than solving tasks separately, by sharing useful building blocks.