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Simulation Based Decision Making Complex by Shengnan (12 results)
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Simulation-Based Decision Making for Complex Systems
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Simulation-Based Decision Making for Complex Systems: Applications in Disaster Response Planning and Management
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Simulation-Based Decision Making for Complex Systems: Applications in Disaster Response Planning and Management
Language: English
Published by VDM Verlag 2009-05-27, 2009
ISBN 10: 363915620X ISBN 13: 9783639156201
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Simulation-based Decision Making for Complex Systems
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Simulation-Based Decision Making for Complex Systems | Applications in Disaster Response Planning and Management
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 363915620X ISBN 13: 9783639156201
Taschenbuch. Condition: Neu. Simulation-Based Decision Making for Complex Systems | Applications in Disaster Response Planning and Management | Shengnan Wu | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639156201 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Simulation-based Decision Making for Complex Systems
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Simulation-Based Decision Making for Complex Systems
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 363915620X ISBN 13: 9783639156201
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wu ShengnanShengnan Shane Wu is a researcher and professional in the areanof operations research and management science. He received hisnPh.D. from the University of Pittsburgh in 2008. His researchninterests are in advanced simula.
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Simulation-Based Decision Making for Complex Systems : Applications in Disaster Response Planning and Management
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 363915620X ISBN 13: 9783639156201
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last several decades, computer simulationshave been widely utilized to model and analyzecomplex systems at low costs and risks. Althoughsimulation can represent physical systemsrealistically, it is a descriptive tool without thecapability of suggesting better solutions. However,it can be complemented by incorporating optimizationroutines. The most challenging problem is thatlarge-scale simulation models normally take aconsiderable amount of computer time to execute sothat the number of solution evaluations needed bymost optimization algorithms is not feasible within areasonable time frame. This book, therefore, providesa highly efficient evolutionary simulation-baseddecision making procedure which can be applied inreal-time management situations. We have used thisnovel simulation-optimization technique to studyseveral disaster response problems. The methodologiesprovided herein should be useful to professionals andresearchers in the fields of industrial engineeringand operations research. The applications in disasterresponse management should help emergency managersand personnel to gain insights into severalsignificant response problems.
