An edition of Theory and Practice of Uncertain Programming (2002)

Theory and Practice of Uncertain Programming

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Cover of: Theory and Practice of Uncertain Programming by Baoding Liu, Baoding Liu
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  • ★★★★ 4.0 (1 rating)
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Last edited by MARC Bot
July 7, 2019 | History
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An edition of Theory and Practice of Uncertain Programming (2002)

Theory and Practice of Uncertain Programming

by

  • ★★★★ 4.0 (1 rating)
  • 2 Want to read

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.

Publish Date
Publisher
Physica-Verlag HD, Imprint: Physica
Language
English
Pages
388

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Subjects

Artificial intelligence, Computer simulation, Computer science, Operations research
Edition Availability
Cover of: Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Oct 21, 2010, Springer
paperback
Cover of: Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
2008, Springer London, Limited
in English
Cover of: Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
2002, Physica-Verlag HD, Imprint: Physica
electronic resource / in English

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Book Details

Table of Contents

Fundamentals: Mathematical Programming; Genetic Algorithms; Neural Networks
Stochastic Programming: Random Variables; Stochastic Expected Value Models; Stochastic Chance-Constrained Programming; Stochastic Dependent-Chance Programming
Fuzzy Programming: Fuzzy Variables; Fuzzy Expected Value Models; Fuzzy Chance-Constrained Programming; Fuzzy Dependent-Chance Programming; Fuzzy Programming with Fuzzy Decisions
Rough Programming: Rough Variables; Rough Programming
Fuzzy Random Programming: Fuzzy Random Variables; Fuzzy Random Expected Value Models; Fuzzy Random Chance-Constrained Programming; Fuzzy Random Dependent-Chance Programming
Random Fuzzy Programming: Random Fuzzy Variables; Random Fuzzy Expected Value Models; Random Fuzzy Chance-Constrained Programming; Random Fuzzy Dependent-Chance Programming
Generel Principle: Multifold Uncertainty; Uncertain Programming.

Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Heidelberg
Series
Studies in Fuzziness and Soft Computing -- 102, Studies in Fuzziness and Soft Computing -- 102

Classifications

Dewey Decimal Class
006.3
Library of Congress
Q334-342, TJ210.2-211.495

The Physical Object

Format
[electronic resource] /
Pagination
1 online resource (xiv, 388 p.)
Number of pages
388

Edition Identifiers

Open Library
OL27091782M
ISBN 10
366213196X, 3790817813
ISBN 13
9783662131961, 9783790817812
OCLC/WorldCat
851367592

Work Identifiers

Work ID
OL19906726W

Source records

Internet Archive item record
Better World Books record

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July 7, 2019 Created by MARC Bot import new book