Babes-Bolyai University of Cluj-Napoca
Faculty of Mathematics and Computer Science
Study Cycle: Master
SUBJECT

Code	Subject	
MI289	Advanced Methods in Evolutionary Computing	

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

Teaching Staff in Charge	Prof. DUMITRESCU Dan Dumitru, Ph.D., ddumitr@cs.ubbcluj.ro	
Aims		
Content	Some advanced EC models are studied:
1. Non-standard population models
2. Adaptive parameter setting
3. Encoding solutions - advanced models
4. Parallel implementations
5. Adaptive encoding
6. Evolutionary multimodel optimisation
7. Co-evolutionary population models
8. Evolutionary learning
9. Cultural algorithms	
Bibliography	DUMITRESCU,D.,B Lazzerini,Evolutionary Computation, CRC Press, New York, Boca Raton, 2000
DUMITRESCU, D.,Principiile  Inteligentei artificiale,  Editura Albastra, Cluj,2000.
DUMITRESCU, D.,Algoritmi genetici si strategii evolutive. Aplicatii in Inteligenta      Artificiala,  Editura Albastra, Cluj,2000.
DUMITRESCU, D., Inteligenta artificiala,  Univ. "Babes-Bolyai", 1995.
DUMITRESCU, D., Modele conexioniste in Inteligenta Artificiala, Univ. "Babes-Bolyai", 1995.
DUMITRESCU, D., Retele Neuronale, Teora, 1997
BACK, T. FOGEL,.D.B., Handbook of Evolutionary Computation, Oxford University Press, New York, 1997.
GOLDBERG, D. E., Genetic Algorithms in Search, Optimization , and Machine Learning, Addison , Reading, 1989.
MICHALEVICZ, Z., Genetic Algorithms+ Data Structures= Evolution Programs, Springer, Berlin, 1992.
DUMITRESCU, D., Evolutionary Optimization, to appear.
	
Assessment