Theory and Practice of Uncertain Programming
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Beschreibung
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.
Most comprehensive and up-to-date information on uncertain programming theory
Includes theory and methodologies, modeling ideas and applications in practice
Autor*in
Baoding Liu
Themen in »Theory and Practice of Uncertain Programming«
Autodesk Inventor Fuzzy Set Theory Stchastic Programming algorithm algorithms fuzziness genetic algorithms model modeling neural networks operations research optimization programming scheduling uncertainty