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STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEM: PERTURBATION ANALYSIS, ORDINAL OPTIMIZATION AND BEYOND - Hardcover
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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.
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Discrete event systems (DES) have become pervasive in our daily life. 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 of 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.
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Stochastic Simulation Optimization for Discrete Event System
Verlag:
World Scientific Publishing Company, 2013
ISBN 10: 9814513008
ISBN 13: 9789814513005
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Stochastic Simulation Optimization for Discrete Event Systems
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World Scientific Publishing Company, Incorporated, 2013
ISBN 10: 9814513008
ISBN 13: 9789814513005
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Stochastic Simulation Optimization For Discrete Event Systems: Perturbation Analysis, Ordinal Optimization And Beyond
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World Scientific Publishing Co Pte Ltd, 2013
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ISBN 13: 9789814513005
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STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEMS: PERTURBATION ANALYSIS, ORDINAL OPTIMIZATION AND BEYOND [Hardcover] CHEN CHUN-HUNG ET AL
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World Scientific Publishing Company, 2013
ISBN 10: 9814513008
ISBN 13: 9789814513005
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STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEMS: PERTURBATION ANALYSIS, ORDINAL OPTIMIZATION AND BEYOND
Verlag:
World Scientific Publishing Company, 2013
ISBN 10: 9814513008
ISBN 13: 9789814513005
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Hardcover
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STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEMS
Verlag:
World Scientific Publishing Company, 2013
ISBN 10: 9814513008
ISBN 13: 9789814513005
Neu
Hardcover
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Gebunden. Zustand: New. InhaltsverzeichnisPart I: Perturbation Analysis: IPA Calculus for Hybrid Systems Smoothed Perturbation Analysis: A Retrospective and Prospective Look Perturbation Analysis and Variance Reduction in Monte Carlo Simulation Adjoints and . Artikel-Nr. 449944554
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Stochastic Simulation Optimization for Discrete Event Systems: Perturbation Analysis, Ordinal Optimization, and Beyond
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Stochastic Simulation Optimization for Discrete Event Systems: Perturbation Analysis, Ordinal Optimization and Beyond
Verlag:
World Scientific Publishing Company Aug 2013, 2013
ISBN 10: 9814513008
ISBN 13: 9789814513005
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Buch. Zustand: Neu. Neuware - Discrete event systems (DES) have become pervasive in our daily life. 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 of 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. Artikel-Nr. 9789814513005
Anzahl: 1 verfügbar