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Titlebook: Genetic Programming; Second European Work Riccardo Poli,Peter Nordin,Terence C. Fogarty Conference proceedings 1999 Springer-Verlag Berlin

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Sub-machine-code GP: New Results and Extensions to process multiple fitness cases per program execution in continuous symbolic regression problems where inputs and outputs are real-valued numbers, reporting experimental results on a quartic polynomial approximation task.
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Genetic Programming of a Goal-Keeper Control Strategy for the RoboCup Middle Size Competitionng only a small sub-set of the situations that the goalkeeper is required to tackle, it is possible to evolve a complex behavior that permits the goalkeeper to perform well also in more challenging real-world conditions.
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Adapting the Fitness Function in GP for Data Mininga sets. The results indicate that extending the . with the .-ing feature increases its performance when different types of misclassifications are not weighted differently, but leads to worse results when they are.
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Busy Beaver - The Influence of Representationterpreting Turing Machines, designed to take advantage of the existence of sets of equivalent Turing Machines. The experimental results show that these alternatives provide improvement over the “standard” genetic codification.
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