Advanced methods in evolutive computing |
ter |
|||||
Teaching Staff in Charge |
|
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 |