Simulation Based Decision Making Complex by Shengnan (12 results)
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Taschenbuch. Condition: Neu. Simulation-Based Decision Making for Complex Systems | Applications in Disaster Response Planning and Management | Shengnan Wu | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639156201 | Verantwortliche Person für die EU: VDM Verlag Dr. Müller, Brivibas Gatve 197, 1039 RIGA, LETTLAND, cust…omerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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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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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 the…capability 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.
