Aplicacao de uma Programacao Genetica Gramatical Coevolutiva no Apoio a Inferencia da Maxima Deformacao Longitudinal de dutos com Amassamento

Created by W.Langdon from gp-bibliography.bib Revision:1.4163

@Misc{joao2017aplicacao,
  author =       "Joao Macros {de Freitas}",
  title =        "Aplicacao de uma Programacao Genetica Gramatical
                 Coevolutiva no Apoio a Inferencia da Maxima Deformacao
                 Longitudinal de dutos com Amassamento",
  school =       "Ciencia da Computacao, Federal University of Juiz de
                 Fora",
  year =         "2016",
  type =         "Bachelor in computer science",
  address =      "Brazil",
  month =        "9 " # dec,
  keywords =     "genetic algorithms, genetic programming, Grammar based
                 Genetic Programming, Co-evolution, Computational
                 Intelligence, Pipe Engineering",
  URL =          "http://monografias.ice.ufjf.br/tcc-web/tcc?id=266",
  size =         "44 pages",
  abstract =     "The extraction of underground fluid fuels is an
                 important resource in order to produce energy. However,
                 there are several factors that make this practice hard,
                 such as damage that causes deformations on the pipe
                 that extracts the fuels. The objective of this work is
                 to determine relationships between characteristics
                 observed on the pipe and fluid with the maximum
                 longitudinal deformation of the pipe from data obtained
                 through analyses using the Finite Element Method. An
                 automatic process for knowledge discovery using an
                 intelligent system that can evolve models in symbolic
                 form is proposed here. Genetic Programming methods
                 presented good results to this type of application and
                 a grammatical approach is adopted here, where the
                 models (programs) are inferred by means of a Formal
                 Grammar. A grammar brings to the GP technique the
                 benefit of generating only valid programs/models and
                 the possibility of limiting the search space by
                 introducing bias. Also, a coevolutionary approach is
                 used to focus the search process on data which are
                 harder to evaluate. Preliminary computational
                 experiments were conducted to solve the problem of
                 inferring a model of the maximum longitudinal
                 deformation of pipes and the results indicate that the
                 application of a Co-evolutionary Grammar based Genetic
                 Programming can solve this problem with good accuracy
                 and less computational cost.",
  key =          "FREITAS,2017",
  notes =        "In Portuguese

                 Supervisor: Heder Soares Bernardino",
}

Genetic Programming entries for Joao Macros de Freitas

Citations