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Theory and Practice of Uncertain Programming Studies in Fuzziness and Soft Computing 🔍
Baoding Liu (auth.) Springer-Verlag Berlin Heidelberg, Studies in Fuzziness and Soft Computing, Studies in Fuzziness and Soft Computing 239, 2, 2009
English [en] · PDF · 3.2MB · 2009 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/scihub/upload/zlib · Save
description
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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lgli/U:/!Genesis/!!ForLG/!!!3/Liu - Theory And Practice Of Uncertain Programming (2Ed, Springer 2009).pdf
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lgrsnf/U:/!Genesis/!!ForLG/!!!3/Liu - Theory And Practice Of Uncertain Programming (2Ed, Springer 2009).pdf
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nexusstc/Theory and Practice of Uncertain Programming/d5b9337bdacd25ed0b0f112da4b521c0.pdf
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scihub/10.1007/978-3-540-89484-1.pdf
Alternative title
Theory and Practice of Uncertain Programming (Studies in Fuzziness and Soft Computing (239))
Alternative title
Theory and practice of uncertain programming with 13 tables
Alternative author
Adobe Acrobat 8.0 Combine Files
Alternative author
Baoding Liu; Janusz Kacprzyk
Alternative author
Liu, Baoding, Liu, Boading
Alternative author
Boading Liu
Alternative publisher
Springer Spektrum. in Springer-Verlag GmbH
Alternative publisher
Steinkopff. in Springer-Verlag GmbH
Alternative publisher
Physica. in Springer-Verlag GmbH
Alternative publisher
Physica-Verlag Heidelberg
Alternative publisher
Springer London, Limited
Alternative edition
Studies in fuzziness and soft computing -- 102, Heidelberg, New York, Germany, 2002
Alternative edition
Studies in fuzziness and soft computing, v. 239, 2nd ed, Berlin, ©2009
Alternative edition
Studies in fuzziness and soft computing, Berlin, Heidelberg, 2009
Alternative edition
Springer Nature, Berlin, Heidelberg, 2008
Alternative edition
Springer Nature, Heidelberg, 2013
Alternative edition
1 edition, April 29, 2003
Alternative edition
2nd ed. 2009, 2009-03-18
Alternative edition
2nd ed. 2009, PT, 2009
Alternative edition
Germany, Germany
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torrents.ru tech collections 2009-11-14 -- 0
metadata comments
sm41114129
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producers:
Adobe Acrobat 8.0
metadata comments
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metadata comments
Includes bibliographical references (p. [365]-382) and index
Alternative description
000 1
front-matter 2
fulltext 12
Mathematical Programming 12
Single-Objective Programming 12
Multiobjective Programming 14
Goal Programming 15
Dynamic Programming 17
Multilevel Programming 18
fulltext_2 20
Genetic Algorithms 20
Representation Structure 21
Handling Constraints 21
Initialization Process 21
Evaluation Function 22
Selection Process 23
Crossover Operation 23
Mutation Operation 24
General Procedure 24
Numerical Experiments 25
fulltext_3 29
Neural Networks 29
Basic Concepts 29
Function Approximation 31
Neuron Number Determination 31
Backpropagation Algorithm 32
Numerical Experiments 33
fulltext_4 35
Stochastic Programming 35
Random Variables 35
Expected Value Model 45
Chance-Constrained Programming 47
Dependent-Chance Programming 52
Hybrid Intelligent Algorithm 60
Numerical Experiments 64
fulltext_5 67
Fuzzy Programming 67
Fuzzy Variables 67
Expected Value Model 78
Chance-Constrained Programming 80
Dependent-Chance Programming 84
Hybrid Intelligent Algorithm 86
Numerical Experiments 89
fulltext_6 93
Hybrid Programming 93
Hybrid Variables 93
Expected Value Model 108
Chance-Constrained Programming 109
Dependent-Chance Programming 112
Hybrid Intelligent Algorithm 114
Numerical Experiments 117
fulltext_7 121
Uncertain Programming 121
Uncertain Variables 121
Expected Value Model 128
Chance-Constrained Programming 129
Dependent-Chance Programming 131
Uncertain Dynamic Programming 132
Uncertain Multilevel Programming 134
$\Psi$ Graph of Uncertain Programming 137
fulltext_8 139
System Reliability Design 139
Problem Description 139
Stochastic Models 140
Fuzzy Models 144
Hybrid Models 146
Exercises 147
fulltext_9 148
Project Scheduling Problem 148
Problem Description 148
Stochastic Models 149
Fuzzy Models 152
Hybrid Models 154
Exercises 155
fulltext_10 156
Vehicle Routing Problem 156
Problem Description 156
Stochastic Models 158
Fuzzy Models 162
Hybrid Models 163
Exercises 164
fulltext_11 165
Facility Location Problem 165
Problem Description 165
Stochastic Models 165
Fuzzy Models 168
Hybrid Models 171
Exercises 173
fulltext_12 174
Machine Scheduling Problem 174
Problem Description 174
Stochastic Models 175
Fuzzy Models 179
Hybrid Models 182
Exercises 184
back-matter 185
Alternative description
Real-life decisions are usually made in the state of uncertainty (randomness, fuzziness, roughness, etc.). 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. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem, inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.
Alternative description
"This book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference."--Jacket
Alternative description
<p>this Book Provides A Self-contained, Comprehensive And Up-to-date Presentation Of Uncertain Programming Theory. It Includes Numerous Modeling Ideas, Hybrid Intelligent Algorithms, And Various Applications In Transportation Problem Inventory System, Facility Location & Allocation, Capital Budgeting, Topological Optimization, Vehicle Routing Problem, Redundancy Optimization, And Scheduling. Researchers, Practitioners And Students In Operations Research, Management Science, Information Science, System Science, And Engineering Will Find This Work A Stimulating And Useful Reference.</p>
Alternative description
Front Matter....Pages -
Mathematical Programming....Pages 1-8
Genetic Algorithms....Pages 9-17
Neural Networks....Pages 19-24
Stochastic Programming....Pages 25-56
Fuzzy Programming....Pages 57-82
Hybrid Programming....Pages 83-110
Uncertain Programming....Pages 111-128
System Reliability Design....Pages 129-137
Project Scheduling Problem....Pages 139-146
Vehicle Routing Problem....Pages 147-155
Facility Location Problem....Pages 157-165
Machine Scheduling Problem....Pages 167-177
Back Matter....Pages -
Alternative description
How do we model optimization problems in uncertain environments? How do we solve these models? This text provides a comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design
Alternative description
Studies in Fuzziness and Soft Computing
Erscheinungsdatum: 18.03.2009
date open sourced
2010-01-11
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