A memory scheme for genetic network programming with adaptive mutation
Fengming Ye, Shingo Mabu, Kotaro Hirasawa · 2011
Recently, a new approach named Genetic Network Programming (GNP) has been proposed for especially solving complex problems in dynamic environments. In this paper, we propose a memory scheme for GNP to enhance the performance of GNP and use SARSA learning based adaptive mutation mechanism to guide the GNP evolution process.