Theory and Practice of Uncertain Programming

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Springer Science & Business Media, Mar 17, 2009 - Business & Economics - 202 pages

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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Contents

Mathematical Programming
1
Genetic Algorithms
9
Neural Networks
19
Stochastic Programming
25
Fuzzy Programming
57
Hybrid Programming
83
Uncertain Programming
111
System Reliability Design
129
Vehicle Routing Problem
147
Facility Location Problem
157
Machine Scheduling Problem
166
References
179
List of Acronyms
196
List of Frequently Used Symbols
197
Index
198
Copyright

Project Scheduling Problem
138

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