A Review Of Methods For Encoding Neural Network Topologies In Evolutionary Computation

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{conf/ecms/FekiacZB11,

• author = "Jozef Fekiac and Ivan Zelinka and Juan C. Burguillo",
• title = "A Review Of Methods For Encoding Neural Network Topologies In Evolutionary Computation",
• booktitle = "25th European Conference on Modelling and Simulation, ECMS 2011",
• year = "2011",
• editor = "Tadeusz Burczynski and Joanna Kolodziej and Aleksander Byrski and Marco Carvalho",
• pages = "410--416",
• address = "Krakow, Poland",
• month = jun # " 7-10",
• publisher = "European Council for Modeling and Simulation",
• keywords = "genetic algorithms, genetic programming, artificial neural network, automata network, evolutionary computation, network encoding, graph grammar",
• timestamp = "Tue, 14 Jan 2014 17:49:51 +0100",
• biburl = "http://dblp2.uni-trier.de/rec/bib/conf/ecms/FekiacZB11",
• bibsource = "dblp computer science bibliography, http://dblp.org",
• isbn13 = "978-0-9564944-2-9",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.637.5825",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.5825",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.5825",
• URL = "http://www.scs-europe.net/conf/ecms2011/ecms2011%20accepted%20papers/is_ECMS_0081.pdf",
• URL = "http://www.scs-europe.net/dlib/2011/2011-0410.htm",
• DOI = "doi:10.7148/2011-0410-0416",
• size = "7 pages",
• abstract = "This paper describes various methods used to encode artificial neural networks to chromosomes to be used in evolutionary computation. The target of this review is to cover the main techniques of network encoding and make it easier to choose one when implementing a custom evolutionary algorithm for finding the network topology. Most of the encoding methods are mentioned in the context of neural networks; however all of them could be generalised to automata networks or even oriented graphs. We present direct and indirect encoding methods, and given examples of their genotypes. We also describe the possibilities of applying genetic operators of mutation and crossover to genotypes encoded by these methods. Also, the dependencies of using special evolutionary algorithms with some of the encodings were considered.",

}

Genetic Programming entries for Jozef Fekiac Ivan Zelinka Juan C Burguillo Rial

Citations