Theory and Practice of Uncertain Programming
Language: English
Published by Springer, New York, NY, 2009
Series: Book 47 of 183 - Studies in Fuzziness and Soft Computing
- Hardcover
- Used
Seller: Book Bear, West Brookfield, MA, U.S.A.Book Bear
AbeBooks seller since January 10, 2007
Association member: SNEAB
Condition: Used - Near fine
US$ 42.12
Quantity: 1 available
Add to basketItem description from seller
202 pp. Tightly bound. Corners not bumped. Text is free of markings.
Seller Inventory # 009118
- Title
- Theory and Practice of Uncertain Programming
- Author
- Liu, Baoding
- Publisher
- Springer, New York, NY
- Publication year
- 2009
- Condition
- Near Fine
- Dust jacket
- Printed Boards
- Binding
- Cloth
- Language
- English
- ISBN 10
- 3540894837
- ISBN 13
- 9783540894834
- Edition
- 2nd Edition
- Dimensions
- 8vo - over 7¾" - 9¾" tall
- Series
- Book 47 of 183: Studies in Fuzziness and Soft Computing
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Book Bear
West Brookfield, MA, U.S.A.
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