Evolutionary and Agent-Based Computing

Computer Science faculty members and their graduate students are actively involved in a variety of research projects focusing on systems of autonomous and/or evolving agents.

Some of this research focuses on developing and studying computational intelligence using nature-inspired computing paradigms, such as evolutionary computation, artificial neural networks, and autonomously interacting computational agents. Other projects are focused on applying these methods to domain-specific problems in areas such as robotics, biology, ecology, economics, social networks, psychology, and transportation.

The general area of Evolutionary and Agent-Based Computing has strong overlaps with our other departmental focus areas in Data Mining and Distributed Systems, and supports the College thrust in Complex Systems.

Some examples of current or recent research projects include: