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Theory and Practice of Uncertain Programming

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Published by Physica-Verlag HD, Imprint: Physica in Heidelberg .
Written in English

Subjects:

  • Artificial intelligence,
  • Computer simulation,
  • Computer science,
  • Operations research

Book details:

About the Edition

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.

Edition Notes

Statementby Baoding Liu
SeriesStudies in Fuzziness and Soft Computing -- 102, Studies in Fuzziness and Soft Computing -- 102
Classifications
LC ClassificationsQ334-342, TJ210.2-211.495
The Physical Object
Format[electronic resource] /
Pagination1 online resource (xiv, 388 p.)
Number of Pages388
ID Numbers
Open LibraryOL27091782M
ISBN 10366213196X, 3790817813
ISBN 109783662131961, 9783790817812
OCLC/WorldCa851367592

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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, Brand: Physica-Verlag Heidelberg. 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. Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume ). The book also includes an extensive bibliography on publications related to uncertain programming. Seven parts make up the book. Part 1 briefly introduces the basic concepts and techniques of optimization theory.

The main purpose of the book is just to provide uncertain programming theory to answer these questions. By uncertain programming we mean the optimization theory in uncer- tain environments. Stochastic programming, fuzzy programming and hybrid programming are instances of uncertain programming. Uncertainty theory, founded by Liu [] in , is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. By uncertain programming we mean the optimization theory in generally uncertain : Baoding Liu. 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 Author: Liu, Baoding. The main purpose of the book is just to provide uncertain programming theory to answer these questions. By uncertain programming we mean mathematical programming involv-ing uncertain variables.

Theory and Practice of Uncertain Programming. Authors: Liu, Baoding Free PreviewBrand: Springer-Verlag Berlin Heidelberg. Review of the Book “Non-Traditional Dynamics:Theory and Practice” Gennadiy G. Goshin DOI: /eng 2, Downloads 4, Views Citations. 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 Price: $ This book provides comprehensive coverage of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in .