MI290 | Genetic Programming - Automated Code Generation |
Teaching Staff in Charge |
Assoc.Prof. OLTEAN Mihai, Ph.D., molteancs.ubbcluj.ro |
Aims |
The basic principles, models and algorithms of Genetic Programming are presented. |
Content |
- Program discovery;
- Program language generator; - GP representation; - Tree structure initialization; - Fitness computing; - GP search operators - mutation and recombination; - Introns; - Population models; - Parallel implementation of GP. |
References |
1. KOZA, J.,R., Genetic Programming, MIT Press, 1992.
2. KOZA, J.,R., Genetic Programming, Vol. 2, MIT Press, 1994. 3. KOZA, J.,R., Genetic Programming, Vol. 3, MIT Press, 2000. 4. BANZHAF, W., NORDIN, P., KELLER, R., FRANCONE. F., Genetic Programming,.Morgan Kaufmann, San Franscisco, 1998. 5. DUMITRESCU, D. LAZZERINI, B., JAIN. L., Evolutionary Computation, CRC Press, Boca Raton, New York, 2000. |
Assessment |
The student will receive a mark based on a project implemented during the lab hours. |
Links: | Syllabus for all subjects Romanian version for this subject Rtf format for this subject |