 |
Mr Daniel Angus
Ph.D. Candidate
Faculty of Information & Communication Technologies
Swinburne University of Technology
Qualifications- Bachelor of Science - Research & Development (Honours)
- Bachelor of Engineering - Electronics & Computer Systems
Research Interests- Ant Colony Optimisation (ACO) applied to dynamic problems
Recent Publications- D. Angus and T. Hendtlass, "Dynamic Ant Colony Optimisation," To be published in Applied Intelligence, 2005.
- D. Angus and T. Hendtlass, "Ant Colony Optimisation Applied to a Dynamically Changing Problem," presented at 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Cairns, Australia, 2002.
Teaching Areas- HIT3002 - Introduction to Artificial Intelligence
- HIT1015 - Computer Systems
|