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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Bibliographische Detailangaben
1. Verfasser: Liu, Baoding 1965- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Heidelberg Physica-Verlag HD 2002
Schriftenreihe:Studies in Fuzziness and Soft Computing 102
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Zusammenfassung: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
Beschreibung:1 Online-Ressource (XIV, 388 p)
ISBN:9783790817812
DOI:10.1007/978-3-7908-1781-2

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