Uncertainty Management in Simulation-Optimization of Complex Systems - Algorithms and Applications (Hardcover)

This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together - as chapter contributors - researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors' goal is to take advantage of such a multidisciplinary environment, to offer to the readers a much deeper understanding of the commonalities and differences of the various approaches to simulation-based optimization, especially in uncertain environments. Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities, and authors or buyers of related publications.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Operations Research/Computer Science Interfaces Series, 59
Release date:	June 2015
First published:	2015
Editors:	Gabriella Dellino • Carlo Meloni
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	271
ISBN-13:	978-1-4899-7546-1
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research
LSN:	1-4899-7546-2
Barcode:	9781489975461

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