Titlebook: High-Performance Simulation-Based Optimization; Thomas Bartz-Beielstein,Bogdan Filipič,El-Ghazali Book 2020 Springer Nature Switzerland A

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st wenig zu dramatisieren. Mit Recht warnt Wolfgang Kayser in seinem bekannten Aufsatz. vor der fixen Idee einer modernen Romankrise. Von jeher konnte auf diesem Gebiet leicht experimentiert werden; denn der antike Roman besaß niemals die kanonische Gültigkeit des antiken Dramas oder Epos. Man brauc

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978-3-030-18766-8Springer Nature Switzerland AG 2020

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High-Performance Simulation-Based Optimization978-3-030-18764-4Series ISSN 1860-949X Series E-ISSN 1860-9503

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Thomas Bartz-Beielstein,Bogdan Filipič,El-Ghazali Presents the state of the art in designing high-performance algorithms that combine machine learning and optimization in order to solve complex problems.Provides theoretical treatments and real-world

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Studies in Computational Intelligencehttp://image.papertrans.cn/h/image/426681.jpg

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Simulation Optimization Through Regression or Kriging Metamodelssimulation model. The linear-regression metamodel uses a sequence of local first-order and second-order polynomials—known as response surface methodology (RSM). Kriging models are global, but are re-estimated through sequential designs. “Robust” optimization may use RSM or Kriging, to account for uncertainty in simulation inputs.

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