I have one question regarding the Machine learning (ML) /Evolutionary Algorithm(EA) method. One of my research objectives is to develop new equation taking as a starting point the pool of possible variables and the pool of simple arithmetic operators; the new equation resulting from the ML/EA method would then be evaluated by the extent to which they could correctly classify the training-set.
Could you suggest, which ML / EA method should I use to deliver the objective? Cartesian Genetic Programming or Basic GP or Neural Network or Deep learning or etc?
Your help in this matter would be greatly appreciated.