MII0008 | Evolutionary Computing |
Teaching Staff in Charge |
Prof. DUMITRESCU Dan Dumitru, Ph.D., ddumitrcs.ubbcluj.ro |
Aims |
The basic paradigms, techniques and algorithms of Evolutionary computing are presented
Evolutionary models are applied for solving some tipical NP-hard problems |
Content |
Selection and search operators for binary and real encoding are presented. The main application domains are indicated.
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 |
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 |
Links: | Syllabus for all subjects Romanian version for this subject Rtf format for this subject |