Genetic Algorithm

 

Initial population of Neural Networks
→ parameters are randomly initialized

Mutants generation
→ two or three mutations depending on the PDF are introduced

Fit function
→ the total χ2 is computed

Selection
→ best parameters configurations are selected

Next generation
→ the whole process is iterated