COMP 150-02 Stochastic Search and Genetic Algorithms

This course covers several algorithms that use stochastic search including hillclimbing, simulated annealing, genetic algorithms and evolutionary computation, genetic programming. The course also covers optimization techniques under uncertainty or in the presence of variations including Monte Carlo simulation and robust optimization. These algorithms have become increasingly popular and can be applied across multiple fields and applications ranging from engineering to economics. The class consists of lectures and critical evaluations of relevant research papers. The grading is based on several programming and reading assignments, class participation, and a project.