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Algorithmics and Computational Intelligence Group (ACI)
The research of the laboratory is centered around techniques and methods for algorithm design and computational intelligence, with the emphasis on both theory and applications. The foundations of the research are discrete mathematics, probabilistic inference, and theoretical computer science. In particular, the research of probabilistic and information-theoretical modeling, combinatorial algorithms, parallel algorithms, intelligent systems, Bayesian analysis, and algorithms for computer games has been pursued. The laboratory is based on the long tradition of active co-operation with companies and academic partners on solving real-life problems by the use of combinatorial optimization and latest techniques on software development and computational intelligence methods. The following key areas are covered:
- Computational intelligence
- Combinatorial algorithms and applications
- Information theory
- Learning and intelligent systems
- Data compression
- String algorithms
- Information retrieval
- Industrial algorithms
- Constraint programming
- Routing problems in parallel systems
- Clustering methods
- Analysis of biomedical signals
- Computer games
- Embedded algorithms