DocumentCode :
1621426
Title :
Simulation optimization methodologies
Author :
Azadivar, Farhad
Author_Institution :
Dept. of Ind. & Manuf. Syst. Eng., Kansas State Univ., Manhattan, KS, USA
Volume :
1
fYear :
1999
fDate :
6/21/1905 12:00:00 AM
Firstpage :
93
Abstract :
Simulation models can be used as the objective function and/or constraint functions in optimizing stochastic complex systems. This tutorial is not meant to be an exhaustive literature search on simulation optimization techniques. It does not concentrate on explaining well-known general optimization and mathematical programming techniques either. Its emphasis is mostly on issues that are specific to simulation optimization. Even though a lot of effort has been spent to provide a reasonable overview of the field, still there are methods and techniques that have not been covered and valuable works that may not have been mentioned
Keywords :
digital simulation; optimisation; computer simulation; constraint functions; objective function; simulation optimization methodologies; stochastic complex systems; Computational modeling; Computer simulation; Constraint optimization; Manufacturing industries; Manufacturing systems; Mathematical programming; Optimization methods; Stochastic processes; Stochastic systems; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference Proceedings, 1999 Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5780-9
Type :
conf
DOI :
10.1109/WSC.1999.823057
Filename :
823057
Link To Document :
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