Genetic algorithms are problem-solving methods that mimic the process of natural selection and can be applied to predicting the movements of security prices.

In this paper a source term inversion model is built to study the source release during severe accident in nuclear power plant. The model is based on the combination of genetic algorithm and ...

Here we present an application of a supervised feed forward artificial neural network (ANN) that is trained on the basis of genetic algorithm (GA). The network model is used for predicting the ...

When using these applications, traders can define a set of parameters that are then optimized using a genetic algorithm and a set of historical data.