Theory and Practice of Uncertain Programming

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 pres...

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Bibliographic Details
Main Author: Liu, Baoding
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009, 2009
Edition:2nd ed. 2009
Series:Studies in Fuzziness and Soft Computing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a Mathematical 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 
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653 |a Management science 
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520 |a 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