Uncertainty Management in Simulation-Optimization of Complex Systems
This book illustrates strategies to account for uncertainty in complex systems as described by computer simulations. When optimizing the performances of these systems, accounting for or neglecting uncertainty may lead to completely different results; ther
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Gabriella Dellino Carlo Meloni Editors
Uncertainty Management in SimulationOptimization of Complex Systems Algorithms and Applications
Operations Research/Computer Science Interfaces Series
Volume 59
Series Editors: Ramesh Sharda Oklahoma State University, Stillwater, Oklahoma, USA Stefan Voß University of Hamburg, Hamburg, Germany
More information about this series at http://www.springer.com/series/6375
Gabriella Dellino • Carlo Meloni Editors
Uncertainty Management in Simulation-Optimization of Complex Systems Algorithms and Applications
123
Editors Gabriella Dellino Istituto per le Applicazioni del Calcolo “Mauro Picone” Consiglio Nazionale delle Ricerche Bari, Italy
Carlo Meloni Dipartimento di Ingegneria Elettrica e dell’Informazione Politecnico di Bari Bari, Italy
ISSN 1387-666X Operations Research/Computer Science Interfaces Series ISBN 978-1-4899-7546-1 ISBN 978-1-4899-7547-8 (eBook) DOI 10.1007/978-1-4899-7547-8 Library of Congress Control Number: 2015940005 Springer New York Heidelberg Dordrecht London © Springer Science+Business Media New York 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer Science+Business Media LLC New York is part of Springer Science+Business Media (www. springer.com)
Foreword
The importance of methods and models to address uncertainties in optimization and simulation of complex systems is evident by the great plethora of books and papers recently dedicated to this subject. When optimizing systems’ performances, accounting for or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issue in simulation-optimization. Such methods find a lot of applications in almost any area of human endeavor, from engineering to science, from business to healthcare and transportation, among others. At the same time, however, there is some ambiguity in how these methods are developed and applied. This editorial project on “Uncertainty Management in S
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