UNCERTAINTY MANAGEMENT IN SIMULATION-OPTIMIZATION OF COMPLEX SYSTEMS by Gabriella Dellino (Editor), Carlo Meloni (Editor) ( 9781489979612 )

Item Details

Title:

UNCERTAINTY MANAGEMENT IN SIMULATION-OPTIMIZATION OF COMPLEX SYSTEMS
ALGORITHMS AND APPLICATIONS

By:

Gabriella Dellino (Editor), Carlo Meloni (Editor)

Format:

Paperback

List price:	£90.00
We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10:

1489979611

ISBN 13:

9781489979612

Publisher:

SPRINGER-VERLAG NEW YORK INC.

Pub. date:

9 October, 2016

Edition:

Softcover reprint of the original 1st ed. 2015

Series:

Operations Research/Computer Science Interfaces Series 59

Pages:

271

Synopsis:

? 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.?

Illustrations:

32 Tables, black and white; 34 Illustrations, color; 29 Illustrations,

Publication:

Imprint:

Springer-Verlag New York Inc.

Returns:

Returnable

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