"Babes-Bolyai" University of Cluj-Napoca
Faculty of Mathematics and Computer Science

Advanced methods in evolutive computing
Code
Semes-
ter
Hours: C+S+L
Credits
Type
Section
MI289
2
2+2+0
9
compulsory
Sisteme inteligente - în limba engleză
Teaching Staff in Charge
Prof. DUMITRESCU Dan Dumitru, Ph.D.,  ddumitrcs.ubbcluj.ro
Aims
Content
1. Non-standard population models
2. Adaptive parameter setting
3. Encoding solutions - advanced models
4. Adaptive encoding
5. Evolutionary multimodel optimisation
6. Co-evolutionary population models
7. Evolutionary learning
8. Cultural algorithms
References
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