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European Conference on the Applications of Evolutionary Computation

EvoApplications 2016: Applications of Evolutionary Computation pp 118–133Cite as

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

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 9598)

Abstract

This paper presents a method for accelerating the evaluation of individuals in Grammatical Evolution. The method is applied for identification and modeling 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.

Keywords

  • Grammatical evolution
  • Model identification
  • Diabetes mellitus

J.M. Colmenar—Support from Spanish Government Grant TIN2014-54806-R is acknowledged by ABSyS group.

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Authors and Affiliations

  1. Adaptive and Bioinspired Systems Research Group, Universidad Complutense de Madrid, Madrid, Spain

    J. Manuel Colmenar, J. Ignacio Hidalgo, Juan Lanchares, Oscar Garnica, Jose-L. Risco, Iván Contreras, Almudena Sánchez & J. Manuel Velasco

  2. Universidad Rey Juan Carlos, Madrid, Spain

    J. Manuel Colmenar

Authors
  1. J. Manuel Colmenar
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  2. J. Ignacio Hidalgo
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  3. Juan Lanchares
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  4. Oscar Garnica
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  5. Jose-L. Risco
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  6. Iván Contreras
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  7. Almudena Sánchez
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  8. J. Manuel Velasco
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Corresponding author

Correspondence to J. Ignacio Hidalgo .

Editor information

Editors and Affiliations

  1. Politecnico di Torino, Turin, Italy

    Giovanni Squillero

  2. Aalborg University, Copenhagen, Denmark

    Paolo Burelli

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Colmenar, J.M. et al. (2016). Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution. In: Squillero, G., Burelli, P. (eds) Applications of Evolutionary Computation. EvoApplications 2016. Lecture Notes in Computer Science(), vol 9598. Springer, Cham. https://doi.org/10.1007/978-3-319-31153-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-31153-1_9

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