BCAM Course | Multiobjective Optimization using Metaheuristics
November 9 - 13, 2026
Monday to Friday 10:00 - 12:00
Maryam Mirzakhani Seminar Room, BCAM Bilbao
Abstract
The course will cover the fundamental concepts related to multi-objective optimization, as well as different techniques to solve these problems and also a number of standard techniques that are used throughout to assess performance of multi-objective metaheuristics. Although the course will emphasize the research work done on multi-objective evolutionary algorithms, it will also put light on other bio-inspired metaheuristics (e.g., particle swarm optimizers, tabu search, artificial immune systems, and differential evolution, among others).
Topics to be covered include:
Basic Concepts
- A review of multi-objective evolutionary algorithms
- Techniques to maintain diversity
- Test problems
- Performance indicators
- Hybrid approaches
- Other bio-inspired metaheuristics


