Type of Document	Master's Thesis
Author	Kingre, Harish J
Author's Email Address	hkingr1@lsu.edu
URN	etd-11022004-225207
Title	Bezier Curves for Metamodeling of Simulation Output
Degree	Master of Science in Industrial Engineering (M.S.I.E.)
Department	Industrial & Manufacturing Systems Engineering
Advisory Committee	Advisor Name Title Charles McAllister Committee Chair Bhaba.R. Sarker Committee Member James P. Geaghan Committee Member Xiaoyue Jiang Committee Member
Keywords	curves simulation univariate bivariate bezier metamodel
Date of Defense	2004-09-30
Availability	unrestricted
Abstract Many design optimization problems rely on simulation models to obtain feasible solutions. Even with substantial improvement in the computational capability of computers, the enormous cost of computation needed for simulation makes it impractical to rely on simulation models. The use of metamodels or surrogate approximations in place of actual simulation models makes analysis realistic by reducing computational burden. There are many popular metamodeling techniques such as Polynomial Regression, Multivariate Adaptive Regression Splines, Radial Basis Functions, Kriging and Artificial Neural Networks. This research proposes a new metamodeling technique that uses Bezier curves and patches. The Bezier curve method is based on interpolation like Kriging and Radial Basis Functions. In this research the Bezier Curve method will be used for output modeling of univariate and bivariate output modeling. Results will be validated using comparison with some of the most popular metamodeling techniques.
Files	Filename       Size       Approximate Download Time (Hours:Minutes:Seconds)     28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access    Kingre_thesis.pdf 764.83 Kb 00:03:32 00:01:49 00:01:35 00:00:47 00:00:04