The ACI Lab is interested in the development of high-performance solutions for real-world problems through the hybridization of traditional problem solvers with:
- Genetic Computing
- Evolutionary Computing
- Neural Computing
Some of our current research topics include:
- NSF Broadening Participation in Computing
- Evolutionary Design of Space Vehicles & Systems
- The Nuclear Electric Vehicle Optimization Toolset (NEVOT)
- eXploration Toolset for Optimization Of Launch and Space Systems (X-TOOLSS)
- Intrusion Detection Systems
- Genetic & Evolutionary Design of Immunity-Based IDSs
- Genetic & Evolutionary Vulnerability Analysis (with Drew Hamilton)
- Genetic & Evolutionary Protocols for:
- Interactive Evolutionary Computation:
- Interactive Distributed Evolutionary Algorithms (IDEA)
- Distributed Collaborative Design
- Robot Behavior Design
- Evolving Theme Park Touring Plans (with Len Testa)