ADVANCED OPTIMIZATION AND SEARCHING TECHNIQUES

rodica.lung@econ.ubbcluj.ro

 

Topics

Course:

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

Seminar:

·       Implementation of some basic methods discussed during courses.

Evaluation:

·       Practical exam: problems can be solved using the code developed during seminars;

·       1 point can be added to the final mark for class activities.