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
- Genetic Algorithms
- Genetic Programming
- Evolution Strategies
- Particle Swarm Optimization
- Ant Colony Systems
- Deep Neural Networks
- Other Machine Learning techniques: Gradient Boosting, Random Forest, Support Vector Machines
- Hybridization of evolutionary techniques and learning
- Metaheuristics
- Multi-objective optimization
Some application fields
- Finance and Economics
- Renewable energy
- Telecommunications
- Games
- Brain Computer Interface
Software Solutions
Some of our projects have resulted in innovative products and tools that we offer and adapt to the needs of companies interested in our products.
System for efficient control of electrical and chemical plants
Tool for consumer market segmentation
AI software for optimisation, prediction, and data analysis, orientated towards companies in the informatics sector, interested in integrating these techniques and solutions in their products
AI software for point and probabilistic energy forecasting
Research Networks
EVANNAI has joined the Computational Finance and Economics Technical Committee (CFETC) of the Computational Intelligence Society (CIS) of the Institute of Electrical and Electronic Engineers, Inc. (IEEE). This society is also supported by a background excellence network from IEEE.
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