Theory and Practice of Uncertain Programming
Liu, Baoding
Sold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
New - Soft cover
Condition: New
Quantity: 15 available
Add to basketSold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
Condition: New
Quantity: 15 available
Add to basketThis book provides comprehensive coverage of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, vehicle routing problem, and machine scheduling problem. Series: Studies in Fuzziness and Soft Computing. Num Pages: 202 pages, 19 black & white tables, biography. BIC Classification: KJT; PBT; PBU; TBJ; UMZ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 11. Weight in Grams: 338. . 2010. Softcover reprint of hardcover 2nd ed. 2009. Paperback. . . . . Books ship from the US and Ireland.
Seller Inventory # V9783642100437
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.
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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