Listar1. Investigación por tema "Genetic programming"

Mostrando ítems 1-10 de 10

    • A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle 

      Romero, Juan; Santos-del-Riego, Antonino; Carballal, Adrián; Rodríguez-Fernández, Nereida; Santos, Iria; Torrente-Patiño, Álvaro; Tuñas, Juan; Machado, Penousal (MDPI AG, 2020)
      [Abstract]: RealTimeBattle is an environment in which robots controlled by programs fight each other. Programs control the simulated robots using low-level messages (e.g., turn radar, accelerate). Unlike other tools like ...

    • Classification of Signals by Means of Genetic Programming 

      Fernández-Blanco, Enrique; Rivero, Daniel; Gestal, M.; Dorado, Julián (Springer, 2013-03-30)
      [Abstract] This paper describes a new technique for signal classification by means of Genetic Programming (GP). The novelty of this technique is that no prior knowledge of the signals is needed to extract the features. ...

    • Evolutionary Computation and QSAR Research 

      Aguiar-Pulido, Vanessa; Gestal, M.; Cruz-Monteagudo, Maykel; Rabuñal, Juan R.; Dorado, Julián; Munteanu, Cristian-Robert (Bentham Science, 2013)
      [Abstract] The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly ...

    • Evolutionary feature selection approaches for insolvency business prediction with genetic programming 

      Beade, Angel; Rodríguez López, Manuel; Santos Reyes, José (Springer, 2023)
      [Abstract]: This study uses different feature selection methods in the field of business failure prediction and tests the capability of Genetic Programming (GP) as an appropriate classifier in this field. The prediction ...

    • Multiperiod Bankruptcy Prediction Models with Interpretable Single Models 

      Beade, Angel; Rodríguez López, Manuel; Santos Reyes, José (Springer, 2023)
      [Abstract]: This study considers multiperiod bankruptcy prediction models, an aspect scarcely considered in research despite its importance, since creditors must assess the risk of loans over the entire life of the debt ...

    • Optimization of existing equations using a new genetic programming algorithm: application to the shear strength of reinforced concrete beams 

      Pérez, Juan L.; Cladera, Antoni; Rabuñal, Juan R.; Martínez-Abella, Fernando (Elsevier, 2012-03-13)
      [Abstract] A method based on Genetic Programming (GP) to improve previously known empirical equations is presented. From a set of experimental data, the GP may improve the adjustment of such formulas through the symbolic ...

    • Parametric Analysis in Sustainable Self-Compacting Mortars Using Genetic Programming 

      Rojo-López, Gemma; González-Fonteboa, Belén; Pérez Ordóñez, Juan Luis; Martínez-Abella, Fernando (Elsevier, 2023-09-06)
      [Abstract]: This study addresses the capabilities of genetic programming to predict the behaviour of cement-based mixtures by focusing on the influence of quaternary binders (incorporating metakaolin, biomass ash and granite ...

    • Population Subset Selection for the Use of a Validation Dataset for Overfitting Control in Genetic Programming 

      Rivero, Daniel; Fernández-Blanco, Enrique; Fernández-Lozano, Carlos; Pazos, A. (Taylor & Francis Group, 2019-07-31)
      [Abstract] Genetic Programming (GP) is a technique which is able to solve different problems through the evolution of mathematical expressions. However, in order to be applied, its tendency to overfit the data is one of ...

    • Towards Automatic Image Enhancement with Genetic Programming and Machine Learning 

      Correia, Joao; Rodríguez-Fernández, Nereida; Vieira, Leonardo; Romero, Juan; Machado, Penousal (MDPI, 2022)
      [Abstract] Image Enhancement (IE) is an image processing procedure in which the image’s original information is improved, highlighting specific features to ease post-processing analyses by a human or machine. State-of-the-art ...

    • Variable selection in the prediction of business failure using genetic programming 

      Beade, José; Rodríguez Seijo, José Manuel; Santos Reyes, José (Elsevier B.V., 2024-04-08)
      This study focuses on dimensionality reduction by variable selection in business failure prediction models. A new method of dimensionality reduction by variable selection using Genetic Programming is proposed, which takes ...