Systems Optimization Using Evolutionary Algorithms

Catalog description

Comprehensive introduction to genetic and evolutionary computation: genetic algorithms, evolutionary strategies, multi-objective optimization, parallelization approaches, and fitness approximation. C E 563 C E 563 Systems Optimization Using Evolutionary Algorithms (3) A comprehensive introduction to the field of genetic and evolutionary computation. The course emphasizes state-of-the-art methods for designing and implementing evolutionary algorithms for computationally intensive engineering and science problems. Course concepts are demonstrated using case studies drawn from the disciplines of the students enrolled. The course is offered every spring semester.