Sistemas Inteligentes
Code
100097
Academic unit
NOVA Information Management School
Credits
6.0
Teacher in charge
Leonardo Vanneschi
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Objectives
The course will present artificial intelligence techniques for extracting usefull knowledge from data.
Prerequisites
No
Subject matter
Optimization problems: definition of problem and instance of a problem
Search space, neighborhood structure and related concept
No free lunch theorem
Local search
Simulated annealing
Genetic algorithms
Genetic Programming
Semantic genetic programming
Pareto dominance
Multi objective optimization (NSGA II)
Bibliography
Machine Learning. Tom Mitchell; Genetic programming: on the programming of computers by means of natural selection. J. Koza; 0; 0; 0
Teaching method
Theoetical classes and practical classes.
In the practical classes students will implement the algorithms presented in the theoretical classes.
Evaluation method
First epoch: project (30%) and oral exam (70%)