Flexible and Generalized Uncertainty Optimization : Theory and Approaches

Language: English

Published by Springer, 2022

3030611825 / 9783030611828

Series: Book 438 of 538 - Studies in Computational Intelligence

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers uncertainties that are both associated with lack of information and are more general than stochastic theory, where well-defined distributions are assumed. Starting from families of distributions that are enclosed by upper and lower functions, the book presents construction methods for obtaining flexible and generalized uncertainty input data that can be used in a flexible and generalized uncertainty optimization model. It then describes the development ofthe associated optimizationmodel in detail. Written for graduate students and professionals in the broad field of optimization and operations research, this second edition has been revised and extended to include more worked examplesand a section on interval multi-objective mini-max regret theory along with its solution method.

Seller Inventory # 9783030611828

Title
Flexible and Generalized Uncertainty Optimization : Theory and Approaches
Author
Weldon A. Lodwick
Publisher
Springer
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030611825
ISBN 13
9783030611828
Edition
2nd Edition
Item weight
318 grams
Dimensions
235x155x12 mm
Series
Book 438 of 538: Studies in Computational Intelligence

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
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