DocumentCode :
1802306
Title :
Gradient-Based Simulation Optimization
Author :
Kim, Sujin
Author_Institution :
Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN
fYear :
2006
fDate :
3-6 Dec. 2006
Firstpage :
159
Lastpage :
167
Abstract :
We present a review of methods for simulation optimization. In particular, we focus on gradient-based techniques for continuous optimization. We demonstrate the main concepts using as an example the multidimensional newsvendor problem. We also discuss mathematical techniques and results that are useful in verifying and analyzing the simulation optimization procedures
Keywords :
gradient methods; simulation; continuous optimization; gradient-based simulation optimization; mathematical techniques; multidimensional newsvendor problem; Analytical models; Computational modeling; Industrial engineering; Multidimensional systems; Optimization methods; Production; Random variables; Resource management; Stochastic processes; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2006. WSC 06. Proceedings of the Winter
Conference_Location :
Monterey, CA
Print_ISBN :
1-4244-0500-9
Electronic_ISBN :
1-4244-0501-7
Type :
conf
DOI :
10.1109/WSC.2006.323048
Filename :
4117601
Link To Document :
بازگشت