NOVA Information Management School

Computational Intelligence for Optimization

Code

200142

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

Leonardo Vanneschi

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Objectives

This course should introduce students to the basic concept of optimization and to a set of heuristic methods for solving, or approxumating, optimization problems. At the same time, this discipline should help students acquiring some bases of programming.

Prerequisites

No requirement

Subject matter

- Motivations of the course
- Optimization Problems
- Fitness Landscapes
- Hill Climbing
- Simulated Annealing
- Hints to Tabu Search
- Genetic Algorithms
- Advanced Genetic Algorithms methods
- Hints to Particle Swarm Optimization

Bibliography

¿Simulated Annealing and Boltzmann Machines¿, E. Aarts and J. Korst, John Wiley and Sons; ¿Genetic Algorithms in Search, Optimization and Machine Learning¿, D. E. Goldberg, Addison-Wesley; 0; 0; 0

Teaching method

(Black)board and slides for theoretical classes, projection of a programming environment for software development in the practical classes.

Evaluation method

First epoch: weighted average between the average grade obtained in a set of evaluations along the semester and the final test.
Second epoch: final test.

Courses