STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEM

Qing-Shan Jia & Loo Hay Chun-Hung Chen

ISBN 10: 9814513008 / ISBN 13: 9789814513005

Published by World Scientific, 2013

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9789814513005

Bibliographic Details

Title: STOCHASTIC SIMULATION OPTIMIZATION FOR ...

Publisher: World Scientific

Publication Date: 2013

Binding: Buch

Condition: Neu

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.