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 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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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 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.

169.99 In Stock
Theory and Practice of Uncertain Programming

Theory and Practice of Uncertain Programming

by Baoding Liu
Theory and Practice of Uncertain Programming

Theory and Practice of Uncertain Programming

by Baoding Liu

Paperback(Softcover reprint of hardcover 2nd ed. 2009)

$169.99 
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Overview

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.


Product Details

ISBN-13: 9783642100437
Publisher: Springer Berlin Heidelberg
Publication date: 12/15/2010
Series: Studies in Fuzziness and Soft Computing , #239
Edition description: Softcover reprint of hardcover 2nd ed. 2009
Pages: 202
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Mathematical Programming.- Genetic Algorithms.- Neural Networks.- Shastic 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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