The popularity of genetic algorithms (GAs) continues to increase because of their effectiveness, applicability, and ease of use. This work shows how GAs have made the leap form their origins in the laboratory to the practicing engineer's toolbox. Each chapter describes a project completed by a graduate student at the University of Alabama.