Titlebook: Genetic Programming; 13th European Confer Anna Isabel Esparcia-Alcázar,Anikó Ekárt,A. ?ima U Conference proceedings 2010 Springer-Verlag Be

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https://doi.org/10.1007/978-3-662-30230-9cal organisms. This paper shows how evolved ABNs may be used to control chaotic dynamics in both discrete and continuous dynamical systems, illustrating that ABNs can be used to represent complex computational behaviours within evolutionary algorithms. Our results also show that performance is sensi

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https://doi.org/10.1007/978-3-662-21751-1emantic Similarity based Crossover - SSC). The use of validation sets is also investigated for both standard crossover and SSC. All GP systems are tested on a number of real-valued symbolic regression problems. The experimental results show that while using validation sets barely improve generalisat

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https://doi.org/10.1007/978-3-662-29208-2ging may represent with good resolution GP’s behaviour in the early stages of a run, it blurs later components of the dynamics. We propose two techniques to improve the situation: solution-locked averaging and solution-time binning. Results indicate that there are significant benefits in adopting th

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Anna Isabel Esparcia-Alcázar,Anikó Ekárt,A. ?ima UFast track conference proceeding.Unique visibility.State of the art research