A Genetic Representation for Dynamic System Qualitative Models on Genetic Programming: A Gene Expression Programming Approach

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  author =       "Ramiro Serrato Paniagua and 
                 Juan J. {Flores Romero} and Carlos A. {Coello Coello}",
  title =        "A Genetic Representation for Dynamic System
                 Qualitative Models on Genetic Programming: {A} Gene
                 Expression Programming Approach",
  booktitle =    "6th Mexican International Conference on Artificial
                 Intelligence, MICAI 2007",
  year =         "2007",
  editor =       "Alexander Gelbukh and Angel Fernando Kuri Morales",
  volume =       "4827",
  series =       "Lecture Notes in Computer Science",
  pages =        "30--40",
  address =      "Aguascalientes, Mexico",
  month =        nov # " 4-10,",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Genetic Representation,
                 Qualitative Reasoning, QSIM, System Identification,
                 Evolutionary Computation",
  isbn13 =       "978-3-540-76630-8",
  URL =          "http://delta.cs.cinvestav.mx/~ccoello/conferences/ramiro-micai2007.pdf.gz",
  DOI =          "doi:10.1007/978-3-540-76631-5_4",
  abstract =     "In this work we design a genetic representation and
                 its genetic operators to encode individuals for
                 evolving Dynamic System Models in a Qualitative
                 Differential Equation form, for System Identification.
                 The representation proposed, can be implemented in
                 almost every programming language without the need of
                 complex data structures, this representation gives us
                 the possibility to encode an individual whose phenotype
                 is a Qualitative Differential Equation in QSIM
                 representation. The Evolutionary Computation paradigm
                 we propose for evolving structures like those found in
                 the QSIM representation, is a variation of Genetic
                 Programming called Gene Expression Programming. Our
                 proposal represents an important variation in the
                 multi-gene chromosome structure of Gene Expression
                 Programming at the level of the gene codification
                 structure. This gives us an efficient way of evolving
                 QSIM Qualitative Differential Equations and the basis
                 of an Evolutionary Computation approach to Qualitative
                 System Identification.",
  bibdate =      "2007-10-25",
  bibsource =    "DBLP,

Genetic Programming entries for Ramiro Serrato Paniagua Juan J Flores Carlos Artemio Coello Coello