A Gene Expression Programming Environment for Fatigue Modeling of Composite Materials

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "A Gene Expression Programming Environment for Fatigue
                 Modeling of Composite Materials",
  author =       "Maria A. Antoniou and Efstratios F. Georgopoulos and 
                 Konstantinos A. Theofilatos and 
                 Anastasios P. Vassilopoulos and Spiridon D. Likothanassis",
  booktitle =    "6th Hellenic Conference on Artificial Intelligence:
                 Theories, Models and Applications (SETN 2010)",
  year =         "2010",
  volume =       "6040",
  editor =       "Stasinos Konstantopoulos and Stavros J. Perantonis and 
                 Vangelis Karkaletsis and Constantine D. Spyropoulos and 
                 George A. Vouros",
  pages =        "297--302",
  series =       "Lecture Notes in Computer Science",
  address =      "Athens, Greece",
  month =        may # " 4-7",
  publisher =    "Springer",
  isbn13 =       "978-3-642-12841-7",
  keywords =     "genetic algorithms, genetic programming",
  bibdate =      "2010-05-11",
  bibsource =    "DBLP,
  DOI =          "doi:10.1007/978-3-642-12842-4",
  abstract =     "In the current paper is presented the application of a
                 Gene Expression Programming Environment in modeling the
                 fatigue behavior of composite materials. The
                 environment was developed using the JAVA programming
                 language, and is an implementation of a variation of
                 Gene Expression Programming. Gene Expression
                 Programming (GEP) is a new evolutionary algorithm that
                 evolves computer programs (they can take many forms:
                 mathematical expressions, neural networks, decision
                 trees, polynomial constructs, logical expressions, and
                 so on). The computer programs of GEP, irrespective of
                 their complexity, are all encoded in linear
                 chromosomes. Then the linear chromosomes are expressed
                 or translated into expression trees (branched
                 structures). Thus, in GEP, the genotype (the linear
                 chromosomes) and the phenotype (the expression trees)
                 are different entities (both structurally and
                 functionally). This is the main difference between GEP
                 and classical tree based Genetic Programming
                 techniques. In order to evaluate the performance of the
                 presented environment, we tested it in fatigue modeling
                 of composite materials.",

Genetic Programming entries for Maria A Antoniou Efstratios F Georgopoulos Konstantinos A Theofilatos Anastasios P Vassilopoulos Spiridon D Likothanassis