— Evolutionary Algorithms

Prerequisites & course information

Course Description: Engineering systems design via approximate optimization of simulation models. Local vs. global search. Genetic algorithms, evolutionary strategies, genetic programming. Multi-objective methods. Parameter sensitivity and convergence assessment. Surrogate modeling. Learning Activities: Lecture 4 hour(s). Enrollment Restriction(s): Open to Graduate Students. Grade Mode: Letter. Learning Activities: Lecture 4 hour(s). Enrollment Restriction(s): Open to Graduate Students. Grade Mode: Letter.