A Genetic Programming Environment for System Modeling

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

@InProceedings{conf/setn/GeorgopoulosZAVL08,

• title = "A Genetic Programming Environment for System Modeling",
• author = "Efstratios F. Georgopoulos and George P. Zarogiannis and Adam V. Adamopoulos and Anastasios P. Vassilopoulos and Spiridon D. Likothanassis",
• bibdate = "2008-09-26",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/setn/setn2008.html#GeorgopoulosZAVL08",
• booktitle = "5th Hellenic Conference on AI, SETN 2008",
• publisher = "Springer",
• year = "2008",
• volume = "5138",
• editor = "John Darzentas and George A. Vouros and Spyros Vosinakis and Argyris Arnellos",
• isbn13 = "978-3-540-87880-3",
• pages = "85--96",
• series = "Lecture Notes in Computer Science",
• DOI = "doi:10.1007/978-3-540-87881-0_9",
• address = "Syros, Greece",
• month = oct # " 2-4",
• keywords = "genetic algorithms, genetic programming, Evolutionary Algorithms, System Modeling, MEG modeling, fatigue modeling",
• size = "12 pages",
• abstract = "In the current paper we present an integrated genetic programming environment with a graphical user interface (GUI), called jGPModeling. The jGPModeling environment was developed using the JAVA programming language, and is an implementation of the steady-state genetic programming algorithm. That algorithm evolves tree based structures that represent models of input-output relation of a system. During the design and implementation of the application, we focused on the execution time optimization and tried to limit the bloat effect. In order to evaluate the performance of the jGPModeling environment, two different real world system modeling tasks were used.",
• notes = "SQUID, MEG",

}

Genetic Programming entries for Efstratios F Georgopoulos George P Zarogiannis Adam V Adamopoulos Anastasios P Vassilopoulos Spiridon D Likothanassis

Citations