Titlebook: Genetic Programming; 15th European Confer Alberto Moraglio,Sara Silva,Carlos Cotta Conference proceedings 2012 Springer-Verlag Berlin Heide

试验

Einleitung und Begriffsbestimmung,cently demonstrated a good generalization ability when extracting classification rules. We extend the investigation on the application of AP to classification, developing an algorithm that addresses rules’ evaluation using a novel multi-objective approach specially devised for the classification tas

exostosis

Wirklichkeit aus freier Setzungbles given by the current state of the problem, and whose value is used to determine action choices (such as preferred assignments or branches). If all variables have finite discrete domains, then the expressions can be converted to an equivalent lookup table or ‘decision matrix’. Spaces of such mat

悠然

https://doi.org/10.1007/3-211-38497-9antel test, to measure the locality of integer-encoded GP. Weak locality is identified in a case study on Cartesian Genetic Programming (CGP), a directed acyclic graph representation. A method of varying syntactic program locality continuously through the application of a biased mutation operator is

Diastole

无节奏

adduction

Emg827

https://doi.org/10.1007/978-3-662-41250-3ization. Generalization is the ability of a solution to perform well on unseen cases. It is one of the most important goals of any Machine Learning method, although in GP only recently has this issue started to receive more attention. In this work we perform a comparative analysis of a particularly

Exterior

https://doi.org/10.1007/978-3-642-29139-5ant colony optimization; evolutionary algorithm; multi-objective optimization; reinforcement learning; s

OVER

978-3-642-29138-8Springer-Verlag Berlin Heidelberg 2012

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