Theory and Practice of Uncertain Programming:

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-d...

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Bibliographic Details
Main Author: Liu, Baoding 1965- (Author)
Format: Electronic eBook
Language:English
Published: Heidelberg Physica-Verlag HD 2002
Series:Studies in Fuzziness and Soft Computing 102
Subjects:
Online Access:BTU01
FHI01
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Summary: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
Physical Description:1 Online-Ressource (XIV, 388 p)
ISBN:9783790817812
DOI:10.1007/978-3-7908-1781-2

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