Titlebook: Genetic Programming; 11th European Confer Michael O’Neill,Leonardo Vanneschi,Ernesto Taranti Conference proceedings 2008 Springer-Verlag Be

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Practical Model of Genetic Programming’s Performance on Rational Symbolic Regression ProblemsMany theoretical studies on GP are criticized for not being applicable to the real world. Here we present a practical model for the performance of a standard GP system in real problems. The model gives accurate predictions and has a variety of applications, including the assessment of the similarities and differences of different GP systems.

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978-3-540-78670-2Springer-Verlag Berlin Heidelberg 2008

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Genetic Programming978-3-540-78671-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Gerhard Lippe,Jörn Esemann,Thomas Tänzerthe Ant Wars contestants was to evolve a controller for a virtual ant that collects food in a square toroidal grid environment in the presence of a competing ant. BrilliAnt, submitted to the contest by our team, has been evolved through competitive one-population coevolution using genetic programmin

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https://doi.org/10.1007/978-3-658-26836-7al evolution. However, few coevolutionary experiments have been reported. Here we describe the results of our experiments on the evolution of physical combat among virtual creatures: essentially, we evolve creatures that trade blows with each other. While several authors have involved highly abstrac

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Das Wohnerlebnis in Deutschlanddegraded due to various network related problems. In this paper we present a model for speech quality estimation that is a function of various time and frequency domain features of human speech. We have employed a hybrid optimization approach, by using Genetic Programming (GP) to find a suitable str

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Regierungserklärung vom 18. Oktober 1963 parallel consumer gaming graphics processing units. Using a Linux KDE computer equipped with an nVidia GeForce 8800 GTX graphics processing unit card the C++ SPMD interpretter evolves programs at Giga GP operations per second (895 million GPops). We use the RapidMind general processing on GPU (GPGP