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The Computational Intelligence Group carries out research with a primary focus in four related areas: evolutionary algorithms; inductive logic programming; probabilistic modelling and neural networks.
The work of the group involves a variety of approaches to problems falling under the general category of learning and optimisation.
The aims of the group are:
- to apply intelligent algorithms to solve learning and/or optimisation problems;
- to develop improved or novel intelligent algorithms;
- to contribute to the theoretical understanding of computational intelligence.
Our research has found application in several areas including: medical treatment design and optimisation; bioinformatics; scheduling and pattern recognition.