Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/evoW/ColmenarHLGRCSV16,
  author =       "J. Manuel Colmenar and Jose Ignacio Hidalgo and 
                 Juan Lanchares and Oscar Garnica and 
                 Jose L. Risco-Martin and Ivan Contreras and Almudena Sanchez and 
                 J. Manuel Velasco",
  title =        "Compilable Phenotypes: Speeding-Up the Evaluation of
                 Glucose Models in Grammatical Evolution",
  booktitle =    "19th European Conference on Applications of
                 Evolutionary Computation, EvoApplications 2016",
  year =         "2016",
  editor =       "Giovanni Squillero and Paolo Burelli",
  volume =       "9598",
  series =       "Lecture Notes in Computer Science",
  pages =        "118--133",
  address =      "Porto, Portugal",
  month =        mar # " 30 -- " # apr # " 1",
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 evolution, Model identification, Diabetes mellitus,
                 EvoPAR",
  bibdate =      "2016-03-29",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/evoW/evoappl2016-2.html#ColmenarHLGRCSV16",
  isbn13 =       "978-3-319-31153-1",
  DOI =          "doi:10.1007/978-3-319-31153-1_9",
  abstract =     "This paper presents a method for accelerating the
                 evaluation of individuals in Grammatical Evolution. The
                 method is applied for identification and modelling
                 problems, where, in order to obtain the fitness value
                 of one individual, we need to compute a mathematical
                 expression for different time events. We propose to
                 evaluate all necessary values of each individual using
                 only one mathematical Java code. For this purpose we
                 take profit of the flexibility of grammars, which
                 allows us to generate Java compilable expressions. We
                 test the methodology with a real problem: modeling
                 glucose level on diabetic patients. Experiments
                 confirms that our approach (compilable phenotypes) can
                 get up to 300x reductions in execution time.",
  notes =        "EvoApplications2016 (Part II) held inconjunction with
                 EuroGP'2016, EvoCOP2016 and EvoMUSART 2016",
}

Genetic Programming entries for J Manuel Colmenar Jose Ignacio Hidalgo Perez J Lanchares Oscar Garnica Jose L Risco-Martin Ivan Contreras Almudena Sanchez Jose Manuel Velasco Cabo

Citations