Theory and Practice of Uncertain Programming

2010. Buch. xi, 202 S.: 19 s/w-Tabelle, Bibliographien. Softcover
Springer ISBN 978-3-642-10043-7
Format (B x L): 15,5 x 23,5 cm
Gewicht: 338 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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 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 machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.
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Completely rewritten second edition Self contained, comprehensive and up-to-date presentation of theory and practice of uncertain programming