Subject: Evolutionary Algorithms	Code: MI287	

Semester	 Hours: C+S+L	Type	 Section	
1	2+2+0	compulsory	Intelligent Systems - in English	

Teaching Staff in Charge	Prof. DUMITRESCU Dan Dumitru, Ph.D., ddumitr@cs.ubbcluj.ro	
Aims	Supply an introduction to the field studied.
Give the basic notion, techniques and algorithms.
Supply the background for advanced courses	
Content	1. Genetic algorithms (GAs)
2. Selection
3. Search operators for GAs
4. Population models
5. Parametter setting
6. Evolution strategies
7. Evolutionary programming
8. GAs for optimization problems (real, combinatorial, multimodal, multicriteria	
Selective References	DUMITRESCU,D.,B Lazzerini,Evolutionary Computation, CRC Press, New York, Boca Raton, 2000
DUMITRESCU,D.,B Lazzerini,Fuzzy Sets and treir Application in Training and Clustering , CRC Press, New York, Boca Raton, 2000
DUMITRESCU, D.,Principiile  Inteligentei artificiale,  Editura Albastra, Cluj,2000.
DUMITRESCU, D.,Principiile  teoriei clasificarii,  Editura Academiei, Bucuresti,2000.
DUMITRESCU, D.,Algoritmi genetici si strategii evolutive. Aplicatii in Inteligenta      Artificiala,  Editura Albastra, Cluj,2000.
DUMITRESCU, D., Inteligenta artificiala,  Univ. "Babes-Bolyai", 1995.
GOLDBERG, D. E., Genetic Algorithm. Addison-Wesley, Reading, 1989.
MICHALEWICZ, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer, Berlin, 1992.	
Assessment