Automatic Generation of Boolean Functions Using Genetic Network Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{matsuya:2002:SEAL,

• author = "Yuko Matsuya and Kotaro Hirasawa and Jinglu Hu and Junichi Murata",
• title = "Automatic Generation of {Boolean} Functions Using Genetic Network Programming",
• booktitle = "Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02)",
• year = "2002",
• editor = "Lipo Wang and Kay Chen Tan and Takeshi Furuhashi and Jong-Hwan Kim and Xin Yao",
• address = "Orchid Country Club, Singapore",
• month = "18-22 " # nov,
• keywords = "genetic algorithms, genetic programming",
• ISBN = "981-04-7522-5",
• URL = "http://www.worldcat.org/title/seal02-proceedings-of-the-4th-asia-pacific-conference-on-simulated-evolution-and-learning-november-18-22-2002-orchid-country-club-singapore/oclc/51951214",
• abstract = "In this paper, a recently proposed Evolutionary Computation method called Genetic Network Programming (GNP) is applied to generate Boolean functions. GNP is based on Genetic Algorithm (GA) and Genetic Programming (GP). It has a network structure and can search for solutions effectively. GNP has been mainly applied to dynamic problems and has shown better performance compared to GP. However, its application to static problems has not yet been studied well. Thus in this paper, GNP is applied to generate Boolean functions as its extension to solving static problems. In the simulations, GNP succeeded in solving Even-n-Parity problem and Mirror Symmetry problem.",
• notes = "SEAL 2002 see http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.200.6410&rep=rep1&type=pdf",

}

Genetic Programming entries for Yuko Matsuya Kotaro Hirasawa Jinglu Hu Junichi Murata

Citations