The following paper has been accepted to Evolutionary Computation Journal. This paper is an extension of our GECCO 2017 paper, which proposed an architecture search method of CNN using genetic programming.
Masanori Suganuma, Masayuki Kobayashi, Shinichi Shirakawa, and Tomoharu Nagao, “Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming,” Evolutionary Computation, MIT Press (Accepted)