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Titlebook: Handbuch der Soƶialen Hygiene und Gesundheitsfürsorge; Fünfter Band: Soƶial A. Gottstein,A. Schlossmann,J. Zappert Book 1927 Springer-Verla

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A. Korff-Petersenving hard problems in the continuous domain. ..Opening an important track for multiobjective GEA research that relies on decomposition principle. ..This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation..
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Julius Zappertlgorithm, aiming to maximize the rotor expected annual energy production and minimize its standard deviation. The design optimization is subjected to a single structural constrain associated with the maximum out-of-plane blade tip deflection. The results of this research highlight that a lower sensi
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Alfred PeyserSBDO of the DTMB 5415 hull-form in calm water, based on potential flow simulations. Results show the effectiveness of the method in reducing the computational cost of the SBDO, providing the background for further developments and application to more complex ship hydrodynamic problems.
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A. Mallwitz is based on the use of Support Vector Machines (SVMs) as the surrogate model for estimating the objective function, in combination with an Evolutionary Algorithm (EA) and an adaptive sampling technique focused on optimization, called the Intelligent Estimation Search with Sequential Learning (IES-S
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Walter Schnell memory handling and GPU dedicated algorithmic techniques make the overall optimization process up to 50x faster than the same process running on a CPU. The developed software is used for the shape optimization of an horizontal axis wind turbine blade for maximum power output.
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ametric and partially-parametric modeling. In fully-parametric modeling the entire shape is defined and realized by means of parameters while in partially-parametric modeling only the changes to an existing shape are described parametrically. Prominent techniques of partially-parametric modeling are
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esearch that relies on decomposition principle. ..This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation..978-3-642-06860-7978-3-540-31759-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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