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OverviewReal-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. Full Product DetailsAuthor: Baoding LiuPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2nd ed. 2009 Volume: 239 Dimensions: Width: 15.50cm , Height: 1.40cm , Length: 23.50cm Weight: 0.494kg ISBN: 9783540894834ISBN 10: 3540894837 Pages: 202 Publication Date: 18 March 2009 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsMathematical Programming.- Genetic Algorithms.- Neural Networks.- Stochastic Programming.- Fuzzy Programming.- Hybrid Programming.- Uncertain Programming.- System Reliability Design.- Project Scheduling Problem.- Vehicle Routing Problem.- Facility Location Problem.- Machine Scheduling Problem.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |