ISE5434

Metamodeling and Optimization Methods in Design

Fundamentals of metamodeling and optimization with emphasis on practical design applications. Topics include design of experiments, Latin hypercube design, orthogonal arrays, metamodeling fundamentals, radial basis functions, Kriging, convex and non-convex sets, classification of optimization problems, gradient descent and Newton’s methods, KKT conditions, and genetic algorithms.

School of Egr. and Comp. Sci.