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Theory and Practice of Uncertain Programming

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Theory and Practice of Uncertain Programming 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.

About This Edition

ISBN: 9783642100437
Publication date:
Author: Baoding Liu
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 202 pages
Series: Studies in Fuzziness and Soft Computing
Genres: Maths for engineers
Stochastics
Software Engineering
Operational research
Probability and statistics
Optimization

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