Druck auf Anfrage Neuware - Printed after ordering - Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments How do we solve these models In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

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Bibliographic Details

Title: Theory and Practice of Uncertain Programming
Publisher: Springer Berlin Heidelberg
Publication Date: 2009
Language: English
ISBN 10: 3540894837
ISBN 13: 9783540894834
Binding: Buch
Edition: 2nd Edition
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 17 millimeters depth
Weight: 494 grams

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Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

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