Data mining has become a commonly used method for the analysis of organisationaldata, for purposes of summarizing data in useful ways and identifying non-trivialpatterns and relationships in the data. Given the large volumes of data that arecollected by business, government, non-government and...

Computational Intelligence has found a challenging testbed for various paradigms inthe financial sector. Extensive research has resulted in numerous financial applicationsusing neural networks and evolutionary computation, mainly genetic algorithms andgenetic programming. More recent advances in...

Many scientific, engineering and economic problems involve the optimisation of a set of parameters. These problems include examples like minimising the losses in a power grid by finding the optimal configuration of the components, or training a neural network to recognise images of people's...