A gene expression programming environment for fatigue modeling of composite materials

  • Authors:

  • Maria A. Antoniou;Efstratios F. Georgopoulos;Konstantinos A. Theofilatos;Anastasios P. Vassilopoulos;Spiridon D. Likothanassis

  • Affiliations:

  • Pattern Recognition Laboratory, Dept of Computer Engineering & Informatics, University of Patras, Patras, Greece;Pattern Recognition Laboratory, Dept of Computer Engineering & Informatics, University of Patras, Patras, Greece;Pattern Recognition Laboratory, Dept of Computer Engineering & Informatics, University of Patras, Patras, Greece;Composite Construction Laboratory (CCLab), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland;Pattern Recognition Laboratory, Dept of Computer Engineering & Informatics, University of Patras, Patras, Greece

  • Venue:
  • SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
  • Year:
  • 2010

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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.