Genetic network programming with intron‐like nodes
Shingo Mabu, Yan Chen, Shinji Eto, Kaoru Shimada, Kotaro Hirasawa · Electronics and Communications in Japan · 2010
Abstract Recently, genetic network programming (GNP), an extension of the genetic algorithm (GA) and genetic programming (GP), has been proposed. GNP can make compact programs and can memorize the past history implicitly, because it expresses the solution by directed graphs and therefore can reuse the nodes. In this research, intron‐like nodes are introduced for improving the performance of GNP. The aim of introducing intron‐like nodes is to use every node as much as possible. It is found from simulations that intron‐like nodes are useful for improving the training speed and generalization ability. © 2010 Wiley Periodicals, Inc. Electron Comm Jpn, 93(8): 23–31, 2010; Published online in Wiley InterScience ( www.interscience. wiley.com ). DOI 10.1002/ecj.10259