System Identification Using Genetic Programming and Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/iscis/FloresG05,

• title = "System Identification Using Genetic Programming and Gene Expression Programming",
• author = "Juan J. Flores and Mario Graff",
• year = "2005",
• pages = "503--511",
• booktitle = "Proceedings of the 20th International Symposium Computer and Information Sciences - ISCIS 2005",
• editor = "Pinar Yolum and Tunga Gungor and Fikret Gurgen and Can Ozturan",
• volume = "3733",
• series = "Lecture Notes in Computer Science",
• address = "Istanbul, Turkey",
• publisher_address = "Berlin / Heidelberg",
• month = oct # " 26-28",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Gene Expression Programming",
• bibdate = "2005-12-14",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/iscis/iscis2005.html#FloresG05",
• ISSN = "0302-9743",
• ISBN = "3-540-29414-7",
• DOI = "doi:10.1007/11569596",
• abstract = "This paper describes a computer program called ECSID that automates the process of system identification using Genetic Programming and Gene Expression Programming. ECSID uses a function set, and the observed data to determine an ODE whose behaviour is similar to the observed data. ECSID is capable to evolve linear and non-linear models of higher order systems. ECSID can also code a higher order system as a set of higher order equations. ECSID has been tested with linear pendulum, non-linear pendulum, mass-spring system, linear circuit, etc.",

}

Genetic Programming entries for Juan J Flores Mario Graff Guerrero

Citations