STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEMS: PERTURBATION ANALYSIS, ORDINAL OPTIMIZATION AND BEYOND [Hardcover] CHEN CHUN-HUNG ET AL

ISBN 10: 9814513008 / ISBN 13: 9789814513005

Published by World Scientific Publishing Company, 2013

About this Item

Unused. Considerable laminate lifting, scratches, scuffs to corners of cover & bump to top/base of spine. Small bumps to edges of cover. Small nick at front hinge inside front cover. Light marks & scratches/nicks to textblock edges. Text excellent.

Seller Inventory # 032505-5

Bibliographic Details

• Title: STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEMS: PERTURBATION ANALYSIS, ORDINAL OPTIMIZATION AND BEYOND [Hardcover] CHEN CHUN-HUNG ET AL
• Publisher: World Scientific Publishing Company
• Publication Date: 2013
• Language: English
• ISBN 10: 9814513008
• ISBN 13: 9789814513005
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

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.

From the Back Cover

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.