ADVANCED OPTIMIZATION AND SEARCHING TECHNIQUES
rodica.lung@econ.ubbcluj.ro
1. Introduction
2. Search and optimization problems
3. Genetic algorithms
4. Evolutionary algorithms
5. Evolution strategies
6. Differential Evolution
7. Particle Swarm Optimization /swarm intelligence
8. Ant colony optimization
9. Genetic programming
10. Local search
11. Multi-objective optimization
12. Dynamic optimization
13. Parameter control
· Implementation of some basic methods discussed during courses.
· Practical exam: problems can be solved using the code developed during seminars;
· 1 point can be added to the final mark for class activities.