Simulation-Driven Modeling and Optimization : ASDOM, Reykjavik, August 2014

Slawomir Koziel

ISBN 10: 3319275151 / ISBN 13: 9783319275154

Edité par Springer International Publishing, 2016

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This edited volume is devoted to the now-ubiquitoususe of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations.Various techniques, such asknowledge-based optimization,adjoint sensitivity techniques, andfast replacement models (to name just a few) are explored in-depth along withan array of the latest techniques to optimize the efficiency of the simulation-driven design process.High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design-while highly desirable-is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.

N° de réf. du vendeur 9783319275154

Détails bibliographiques

• Titre: Simulation-Driven Modeling and Optimization : ASDOM, Reykjavik, August 2014
• Éditeur: Springer International Publishing
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 3319275151
• ISBN à 13 chiffres: 9783319275154
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 28 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 28 millimètres de profondeur
• Poids: 781 grammes

A propos de ce titre

Synopsis

This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations. Various techniques, such as knowledge-based optimization, adjoint sensitivity techniques, and fast replacement models (to name just a few) are explored in-depth along withan array of the latest techniques to optimize the efficiency of the simulation-driven design process.

High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design--while highly desirable--is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.