| Project | Title | Due Date | Description |
| 1 | Genetic Algorithm - TSP | Oct. 14 | Traveling Salesman problem solutions, possibly with the use parasites to increase efficiency. |
| 2 | Dynamic System Model | Nov. 11 | Modeling the population of a species based on a variable R. This population growth equation contains a relationship that eventually deteriorates into a chaotic system. |
| 3 | MANTA-Lite | Nov. 24 | Individual unintelligent actors working in harmony yields complex group behavior. |
| 4 | Final Project | Dec. 20 | We will work each week on developing a final project. Some initial ideas include a internet genetic algorithms laboratory, an evolving program for playing MUDs, a genetic model for object interaction, automatic generation of programs for crawling and walking, automatic generation of plans for mobile robots via genetic programming with automatically defined functions, cracking and co-evolving randomizers, evolvable 3D modeling for model-based object recognition systems, and genetic macro programming of neural networks. |
| 5 | Final Paper | Dec. 20 | Everyone will write a final paper ( 8 - 10 pages) summarizing the material they learned in the course and discussing future areas of research. |
