Fuzzy Stochastic Optimization, Shuming Wang; Junzo Watada

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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Цена: 6811.00 р.
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Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.

Автор: Anatoly Zhigljavsky; Antanas ?ilinskas
Название: Stochastic Global Optimization
ISBN: 1441944850 ISBN-13(EAN): 9781441944856
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; some of the topics include an introduction to global random search, statistical inference, several associated random search algorithms, and various approaches to statistical models.

Автор: Song
Название: Optimal Control and Optimization of Stochastic Supply Chain Systems
ISBN: 1447147235 ISBN-13(EAN): 9781447147237
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.

Автор: Chen Chun-Hung, Jia Qing-Shan, Lee Loo Hay
Название: Stochastic Simulation Optimization for Discrete Event Systems: Perturbation Analysis, Ordinal Optimization and Beyond
ISBN: 9814513008 ISBN-13(EAN): 9789814513005
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a "hard nut to crack." The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.