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

SUBJECT

Code
Subject
MII0008 Evolutionary Computing
Section
Semester
Hours: C+S+L
Category
Type
Computer Science - in Romanian
Computer Science - in English
5
2+0+2
speciality
optional
Mathematics-Computer Science - in Romanian
5
2+0+2
speciality
optional
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