Optimization for Artificial Intelligence

Learning Goals

The aim of the course is to train people able to apply evolutionary programming techniques and swarm intelligence in areas where there may also be multiple objectives to evaluate the result of the optimization.

Program in pills

Optimization through a set of bio-inspired techniques: evolutionary techniques (genetic algorithms, genetic programming) and swarm intelligence (particle swarm optimization) also combined with other machine learning methods (e.g., neuroevolution).

Area

Mathematical and statistical modelling

Curriculum Foundations
TAF Type

B

Curriculum Industry
TAF Type

B

Curriculum Health
TAF Type

Curriculum Economy
TAF Type

SSD

MAT/09

ECTS

6

Semester

1

Lecturers

Luca Manzoni