| Title | OTTO: Terrain Traversal Using a Genetic Algorithm |
|---|---|
| Speaker | Jason Leeming, Honour student |
| Date | Thursday, 29 May 1997 |
| Time | 11:10 -- 11:40 |
| Venue | Computer Science - Room 152 |
| Abstract | Artificial Intelligence techniques attempt to model the properties of real intelligence. The genetic algorithm (GA) takes a different approach. It models the genetics of real life in order to find the best solution to a problem. The application of this powerful tool to the problem of navigating a 3-dimensional terrain is untried. The aim of this research is to create a GA navigation engine that achieves better optimality and robustness. A program called OTTO, an Optimal Terrain Traversal Organism, accepts an area of rough terrain and uses a GA to determine a user defined optimal path. The inherent properties of the GA should provide a robustness that will enable OTTO to find a near optimal solution to any given terrain. |
| Title | A Flexible CORBA based Gateway for the Collins Class Submarine |
| Speaker | Samuel Pons, Honour student |
| Time | 11:40 -- 12:10 |
| Abstract | Big bang software development for the Collins Class Combat Weapon System (CCS) has yielded an incomplete system. To remedy this, an open system is to be attached to the combat weapons system to extend its capabilities. This requires a flexible gateway to ensure that the open system can access all the data on the CCS instead of a limited subset of data.. he design of the system will be modelled using the Common Object Request Broker Architecture (CORBA). The system model will be built using several proven techniques from industry. These techniques will be implemented into the CCS using the Object Management Technique. The combination of these processes will ensure that testing and implementation of the system model will be more rigorous than a phototyping method such as waterfall. |
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