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