ECE 559 Genetic Algorithms
Theory and applications of genetic algorithms. Study of the Schema and No Free Lunch theorems. Techniques for using genetic algorithms to solve multi-objective and NP-hard optimization problems from physical science, natural science, engineering and mathematical fields. Investigation of game theory problems, evolvable hardware problems, and constrained parameter optimization problems. Survey of current technical literature in evolutionary computation.
Prerequisite
CS 163 or equivalent.