Genetic Network Programing Considering the Evolution of Breadth and Depth
Shinji Eto, Shingo Mabu, Kotaro Hirasawa, Jingle Hu · 2006 SICE-ICASE International Joint Conference · 2006
Many methods of generating behavior sequences of agents by evolution have been reported. A new evolutionary computation method named genetic network programming (GNP) has also been developed recently along with these trends. In this paper, a new method for evolving GNP considering breadth and depth is proposed. The performance of the proposed method is shown from simulations using garbage collector problem