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

庄严

https://doi.org/10.1007/978-3-322-97355-9included in the literature in the set of benchmarks for the derivation of new intelligent controllers . The evolved controllers are compared with a neuroevolutionary approach which won the first position in the 2008 helicopter hovering reinforcement learning competition. GP performs similarly (and i

Obscure

子女

本能

ureter

Nephrologie des alten Menschen,resented. The approach relies on the ability of the Genetic Programming engine to identify and exploit shortcomings of classifier systems, and generate instances that are misclassified by them. The addition of these instances to the training set has the potential to improve classifier’s performance.

Obvious

Myocyte

投票

Empirie: Methodik und Studiendesign,e implementation of fitness sharing to speed up its execution, and used two distance metrics in calculating the distance between individuals in fitness sharing: semantic distance and syntactic distance. We applied fitness sharing with these two distance metrics to a class of real-valued symbolic reg

meretricious

Theoriegeleitete Modellentwicklung,stic and dynamic features of job shops, the development of general due-date assignment models (DDAMs) is complicated. In this study, two genetic programming (GP) methods are proposed to evolve DDAMs for job shop environments. The experimental results show that the evolved DDAMs can make more accurat

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