An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics

Mauro Castelli, Davide Castaldi, Leonardo Vanneschi, Ilaria Giordani, Francesco Archetti, Daniele Maccagnola · 2013

In the last few years researchers have dedicated several efforts to the definition of Genetic Programming (GP) [?] systems based on the semantics of the solutions, where by semantics we generally intend the behavior of a program once it is executed on a set of inputs, or more particularly the set of its output values on input training data (this definition has been used, among many others, for instance in [?, ?, ?, ?]). In particular, new genetic operators, called geometric semantic operators, have been proposed by Moraglio et al. [?]. They are defined s follows:

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