Titlebook: Genetic Programming Theory and Practice XI; Rick Riolo,Jason H. Moore,Mark Kotanchek Book 2014 Springer Science+Business Media New York 20

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Datenbanken für Wirtschaftsinformatikerorld data. The predicted future load is subsequently used by a resource manager to optimize the amount of IaaS servers a consumer should allocate at a cloud provider, and the optimal tariff plans (from a cost perspective) for that allocation. Our results illustrate the benefits of load forecasting f

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,Datenbanksystem Microsoft® Access, developing a solid theoretical alternative for nonlinear time series modeling, using available forecasting software, and low efforts to train the final user. The proposed approach is illustrated with two examples from real business applications in the area of raw materials forecasting.

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https://doi.org/10.1007/978-3-663-09568-2mple R.”. We conclude that the two packages tested, Eureqa and ARC, can produce models that go beyond the power of traditional stepwise regression. ARC, in particular, is able to replicate the format of published economic research because ARC contains a high level Regression Query Language (RQL). Th

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Datenbanksoftware für Jedermannand structures. ULTRA treats hierarchical programs as linear sequences and includes a repair step to ensure that syntax constraints are satisfied after variation. We show that on the drug bioavailability and Pagie-1 benchmark problems ULTRA produces significant improvements both in problem-solving p

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Test, Auswahl und Bewertung von DB-Systemen,s of multiple GENN parameters and data noise levels on model detection and network structure. We concluded that the models produced by GENN were greatly affected by algorithm parameters and data noise levels. We also produced complex, multi-layer networks that were not produced in the previous study

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Die drei Gesichter einer Datenbank is still plaguing even the most advanced commercial packages today. Users expect to have the correct formula returned, especially in cases with zero noise and only one basis function with minimally complex grammar depth. Poor accuracy is a hindrance to greater academic and industrial acceptance of

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Datenbanken für Nichtinformatikerffects in large data sets will require computational methods that extend beyond what parametric statistical methods such as logistic regression can provide. We have previously introduced a computational evolution system (CES) that uses genetic programming (GP) to represent genetic models of disease