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Theory and Practice of Uncertain Programming Book

Theory and Practice of Uncertain Programming
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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, Theory and Practice of Uncertain Programming
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  • Theory and Practice of Uncertain Programming
  • Written by author Springer
  • Published by Springer-Verlag New York, LLC, 12/15/2010
  • 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
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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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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, Theory and Practice of Uncertain Programming

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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, Theory and Practice of Uncertain Programming

Theory and Practice of Uncertain Programming

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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, Theory and Practice of Uncertain Programming

Theory and Practice of Uncertain Programming

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