Stochastic Simulation Optimization For Discrete Event Systems Perturbation Analysis Ordinal Optimization And Beyond
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Stochastic Simulation Optimization For Discrete Event Systems
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Author : Chun-Hung Chen
language : en
Publisher: World Scientific
Release Date : 2013
Stochastic Simulation Optimization For Discrete Event Systems written by Chun-Hung Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Mathematics categories.
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.
Stochastic Simulation Optimization For Discrete Event Systems Perturbation Analysis Ordinal Optimization And Beyond
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Author : Chun-hung Chen
language : en
Publisher: World Scientific
Release Date : 2013-07-03
Stochastic Simulation Optimization For Discrete Event Systems Perturbation Analysis Ordinal Optimization And Beyond written by Chun-hung Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-03 with Technology & Engineering categories.
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.
Discrete Event Systems
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Author : Reuven Y. Rubinstein
language : en
Publisher:
Release Date : 1993-10-19
Discrete Event Systems written by Reuven Y. Rubinstein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-10-19 with Mathematics categories.
A unified and rigorous treatment of the associated stochastic optimization problems is provided and recent advances in perturbation theory encompassed. Throughout the book emphasis is upon concepts rather than mathematical completeness with the advantage that the reader only requires a basic knowledge of probability, statistics and optimization.
Handbook Of Simulation Optimization
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Author : Michael C Fu
language : en
Publisher: Springer
Release Date : 2014-11-13
Handbook Of Simulation Optimization written by Michael C Fu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-13 with Business & Economics categories.
The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading contributors cover such topics as discrete optimization via simulation, ranking and selection, efficient simulation budget allocation, random search methods, response surface methodology, stochastic gradient estimation, stochastic approximation, sample average approximation, stochastic constraints, variance reduction techniques, model-based stochastic search methods and Markov decision processes. This single volume should serve as a reference for those already in the field and as a means for those new to the field for understanding and applying the main approaches. The intended audience includes researchers, practitioners and graduate students in the business/engineering fields of operations research, management science, operations management and stochastic control, as well as in economics/finance and computer science.
Efficient Simulation Algorithms For Optimization Of Discrete Event Systems Based On Measure Valued Differentation
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Author : Taoying Farenhorst-Yuan
language : en
Publisher: Rozenberg Publishers
Release Date : 2010
Efficient Simulation Algorithms For Optimization Of Discrete Event Systems Based On Measure Valued Differentation written by Taoying Farenhorst-Yuan and has been published by Rozenberg Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Introduction To Discrete Event Systems
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Author : Christos G. Cassandras
language : en
Publisher: Springer Nature
Release Date : 2021-11-11
Introduction To Discrete Event Systems written by Christos G. Cassandras and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-11 with Computers categories.
This unique textbook comprehensively introduces the field of discrete event systems, offering a breadth of coverage that makes the material accessible to readers of varied backgrounds. The book emphasizes a unified modeling framework that transcends specific application areas, linking the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, Markov chains and queueing theory, discrete-event simulation, and concurrent estimation techniques. Topics and features: detailed treatment of automata and language theory in the context of discrete event systems, including application to state estimation and diagnosis comprehensive coverage of centralized and decentralized supervisory control of partially-observed systems timed models, including timed automata and hybrid automata stochastic models for discrete event systems and controlled Markov chains discrete event simulation an introduction to stochastic hybrid systems sensitivity analysis and optimization of discrete event and hybrid systems new in the third edition: opacity properties, enhanced coverage of supervisory control, overview of latest software tools This proven textbook is essential to advanced-level students and researchers in a variety of disciplines where the study of discrete event systems is relevant: control, communications, computer engineering, computer science, manufacturing engineering, transportation networks, operations research, and industrial engineering. Christos G. Cassandras is Distinguished Professor of Engineering, Professor of Systems Engineering, and Professor of Electrical and Computer Engineering at Boston University. Stéphane Lafortune is Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.
Discrete Event Dynamic Systems Modeling And Optimization With Applications To C3i Problems
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Author : Yu-Chi Ho
language : en
Publisher:
Release Date : 1999
Discrete Event Dynamic Systems Modeling And Optimization With Applications To C3i Problems written by Yu-Chi Ho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
The PI's have accomplished the following research tasks: (1) Established solid foundations of the Ordinal Optimization approach and applied it to a number of applications heretofore considered to be beyond reach or impractical?see www. hrl. harvard. edu/-ho for references, explanations and demos. (2) Further analyzed and proposed new schemes for stochastic fidelity preservation issues in hierarchical simulation modeling. (3) Further developed the rational approximation approach for small probability estimation.
Perturbation Analysis Optimization And Resource Contention Games In Stochastic Hybrid Systems
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Author : Chen Yao
language : en
Publisher:
Release Date : 2011
Perturbation Analysis Optimization And Resource Contention Games In Stochastic Hybrid Systems written by Chen Yao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Abstract:Stochastic Hybrid Systems (SHS) are systems that combine event-driven and time-driven dynamics, and include elements to model uncertainties in the system. There have been several different types of stochastic hybrid system models proposed. In this dissertation, a unified framework is presented for carrying out perturbation analysis for general SHS with arbitrary structures, in particular, the Infinitesimal Perturbation Analysis (IPA) methodology originally developed for Discrete Event Systems. Some properties are also established, which apply to this framework and justify its effectiveness in recovering useful performance sensitivity estimates. Then, this dissertation concentrates on Stochastic Flow Models (SFMs), which are one type of SHS and are used to abstract the dynamics of many complex discrete event systems to provide the basis for their control and optimization. SFMs have been used to date to study systems with a single user class or some multiclass settings in which performance metrics are not. class-dependent. However, little work has been done for multiclass systems that fully differentiate among classes, where classes contend for single or multiple system resources, and with class-dependent performance metrics. This is partly due to the complexities in modeling SFMs for such systems, and partly clue to the difficulties in applying IPA in this context. In this dissertation, a general framework is built based on multiclass SFMs, to model stochastic resource contention systems, where multiple classes (users) compete for shared resources. The general IPA framework is then applied to stick systems to obtain performance gradient estimates for various user-specific objectives, which enables the study of a new " user centric " optimization perspective, in addition to the usual "system-centric " viewpoint. Following the "user-centric " optimization, each class (user) seeks to optimize its own performance by adjusting its own controls, which leads to resource contention games between classes. A simple instance of such systems is studied to illustrate how the general IPA is applied to specific systems, and the difference between solutions of the two perspectives, which is commonly referred to as the "price of anarchy". Two specific resource contention problems are studied in this dissertation. One is the admission control problem for the multiclass queueing system under a First Come First Served (FCFS) policy, where the buffer capacity thresholds of all classes are determined to optimize system performance; the other problem is the multiclass lot-sizing problem arising in the manufacturing production planning setting, where the objective is to obtain optimal lot sizes for all classes. For both problems, the general IPA framework is applied to the multiclass SFM abstractions to derive sensitivity estimates of performance metrics with respect to control parameters of interest, which are all proven to be unbiased, hence, reliable for control and optimization purposes. These estimates arc then used to drive the on-line optimization of these parameters, and simulation results are provided to contrast the solutions obtained through the " system-centric " and "user-centric " perspectives.
Sensitivity Analysis And Optimization Of Discrete Event Systems
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Author :
language : en
Publisher:
Release Date : 1992
Sensitivity Analysis And Optimization Of Discrete Event Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Discrete-time systems categories.
Perturbation Analysis Of Discrete Event Dynamic Systems
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Author : Yu-Chi Ho
language : en
Publisher: Springer
Release Date : 1991
Perturbation Analysis Of Discrete Event Dynamic Systems written by Yu-Chi Ho and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Business & Economics categories.
The engineer-authors present a time domain based sample path analytical approach which combines control system theory, operations research, and statistical simulation methodology. Applicable to manufacturing systems, communications networks, military command control systems, and other complex man-made organizations. Complements existing research queueing theory textbooks. Annotation copyrighted by Book News, Inc., Portland, OR