Stochastic simulation optimization for discrete event systems: perturbation analysis, ordinal optimization, and beyond
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...
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| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2013
|
| Schlagworte: | |
| Online-Zugang: | FHN01 URL des Erstveroeffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | xxviii, 245 p. ill |
| ISBN: | 9789814513012 |
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| id | DE-604.BV044639453 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:55Z |
| institution | BVB |
| isbn | 9789814513012 |
| language | English |
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| physical | xxviii, 245 p. ill |
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| publishDate | 2013 |
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| spelling | Stochastic simulation optimization for discrete event systems perturbation analysis, ordinal optimization, and beyond editors, Chun-Hung Chen, Qing-Shan Jia, Loo Hay Lee Singapore World Scientific Pub. Co. c2013 xxviii, 245 p. ill txt rdacontent c rdamedia cr rdacarrier 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-time systems / Mathematical models Perturbation (Mathematics) Systems engineering / Computer simulation Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Diskretes Ereignissystem (DE-588)4196828-1 gnd rswk-swf Simulation (DE-588)4055072-2 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 s Simulation (DE-588)4055072-2 s Diskretes Ereignissystem (DE-588)4196828-1 s 1\p DE-604 Chen, Chun-Hung 1964- Sonstige oth Jia, Qing-Shan 1980- Sonstige oth Lee, Loo Hay Sonstige oth Erscheint auch als Druck-Ausgabe 9789814513005 (alk. paper) http://www.worldscientific.com/worldscibooks/10.1142/8827#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Stochastic simulation optimization for discrete event systems perturbation analysis, ordinal optimization, and beyond Discrete-time systems / Mathematical models Perturbation (Mathematics) Systems engineering / Computer simulation Stochastischer Prozess (DE-588)4057630-9 gnd Diskretes Ereignissystem (DE-588)4196828-1 gnd Simulation (DE-588)4055072-2 gnd |
| subject_GND | (DE-588)4057630-9 (DE-588)4196828-1 (DE-588)4055072-2 |
| title | Stochastic simulation optimization for discrete event systems perturbation analysis, ordinal optimization, and beyond |
| title_auth | Stochastic simulation optimization for discrete event systems perturbation analysis, ordinal optimization, and beyond |
| title_exact_search | Stochastic simulation optimization for discrete event systems perturbation analysis, ordinal optimization, and beyond |
| title_full | Stochastic simulation optimization for discrete event systems perturbation analysis, ordinal optimization, and beyond editors, Chun-Hung Chen, Qing-Shan Jia, Loo Hay Lee |
| title_fullStr | Stochastic simulation optimization for discrete event systems perturbation analysis, ordinal optimization, and beyond editors, Chun-Hung Chen, Qing-Shan Jia, Loo Hay Lee |
| title_full_unstemmed | Stochastic simulation optimization for discrete event systems perturbation analysis, ordinal optimization, and beyond editors, Chun-Hung Chen, Qing-Shan Jia, Loo Hay Lee |
| title_short | Stochastic simulation optimization for discrete event systems |
| title_sort | stochastic simulation optimization for discrete event systems perturbation analysis ordinal optimization and beyond |
| title_sub | perturbation analysis, ordinal optimization, and beyond |
| topic | Discrete-time systems / Mathematical models Perturbation (Mathematics) Systems engineering / Computer simulation Stochastischer Prozess (DE-588)4057630-9 gnd Diskretes Ereignissystem (DE-588)4196828-1 gnd Simulation (DE-588)4055072-2 gnd |
| topic_facet | Discrete-time systems / Mathematical models Perturbation (Mathematics) Systems engineering / Computer simulation Stochastischer Prozess Diskretes Ereignissystem Simulation |
| url | http://www.worldscientific.com/worldscibooks/10.1142/8827#t=toc |
| work_keys_str_mv | AT chenchunhung stochasticsimulationoptimizationfordiscreteeventsystemsperturbationanalysisordinaloptimizationandbeyond AT jiaqingshan stochasticsimulationoptimizationfordiscreteeventsystemsperturbationanalysisordinaloptimizationandbeyond AT leeloohay stochasticsimulationoptimizationfordiscreteeventsystemsperturbationanalysisordinaloptimizationandbeyond |