Theory and Practice of Uncertain Programming

Baoding Liu

ISBN 10: 3540894837 / ISBN 13: 9783540894834

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2009, 2009

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 216 pp. Englisch.

Seller Inventory # 9783540894834

Bibliographic Details

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

About this title

Synopsis

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.