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

Advanced Methods in Evolutionary Computing
Code
Semes-
ter
Hours: C+S+L
Type
Section
MI289
2
2+2+0
compulsory
Sisteme inteligente - în limba engleza
Teaching Staff in Charge
Prof. DUMITRESCU Dan Dumitru, Ph.D.,  ddumitrcs.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
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
Links: Syllabus for all subjects
Romanian version for this subject
Rtf format for this subject