Research

We have performed an extensive research focused on Evolutionary Computation and Artificial Neural Networks. We develop applications and algoritms for optimization, multi-objective optimization, machine learning, classification and clustering, and search metaheuristics. Several open problems and different aspects of the Evolutionary Computation and Machine Learning fields have been studied.
Research lines include:
- Obtaining a system of rules from the output produced by a genetic classifier
- How to deal with problems of time series prediction and optimization for real applications
- How to improve the performance and generalization of machine learning techniques
- Developing methods in the context of interactive evolutionary computation
- The use of evolutionary computation techniques in cryptographic systems
- How to predict the initial public offering price in the stock market
- Developing methods for probabilistic prediction of continuous values
- The use of machine learning and evolutionary computation to improve point and probabilistic energy forecasting (solar and wind)
Techniques and Tools
Some application fields
Software Solutions
Research Networks
Special Issues & Sessions
We are involved in the organisation of special sessions in international conferences, seminars and courses. We are also in charge of Special Issues in computer science journals. Here we provide information on how to submit to Open calls and the list of ongoing events.
More details:
Special Issues in scientific journals, that are coordinated by members of the group
- Special Sessions
Special Sessions or workshops organized by members of the group in scientific conferences