How to combine genetic programming (GP) with AdaBoost technique? From my understanding, AdaBoost is a ML method, that is used as a classifier and it can be used to boost or improve the accuracy of any given learning algorithm.
From my experiment/research , I found that my GP method is inferior classifier to others existing methods. Therefore i'm thinking to add AdaBoost method to my GP algorithm.
However, i'm not sure how the AdaBoost method works? and is it possible to add/combine the AdaBoost technique to my GP method in order to boost the GP classifier.