Geometric semantic genetic programming (GSGP) is a well-known variant of (GP) where recombination and mutation operators have clear effect. Both kind randomly selected parameters that are not optimized by the search process. In this paper we combine GSGP with gradient-based optimizer, Adam, in order to leverage ability GP operate structural changes individuals methods optimize given structure. ...
