Before revision: In this work, we present an extension of the genetic algorithm (GA) which exploits the  active subspaces (AS) property to evolve the individuals on a lower dimensional space.
After revision: In this work, we present an extension of the genetic algorithm (GA) which exploits the supervised learning technique called active subspaces (AS) property to evolve the individuals on a lower dimensional space.