Exploració per tema "Genetic programming (Computer science)"

Ara es mostren els items 1-20 de 21

    • A data-driven approach to construct survey-based indicators by means of evolutionary algorithms 

      Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-01-09)
      Article
      Accés obert
      In this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World ...

    • A genetic programming approach for economic forecasting with survey expectations 

      Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (Multidisciplinary Digital Publishing Institute, 2022-06-30)
      Article
      Accés obert
      We apply a soft computing method to generate country-specific economic sentiment indicators that provide estimates of year-on-year GDP growth rates for 19 European economies. First, genetic programming is used to evolve ...

    • Combining polynomial chaos expansions and genetic algorithm for the coupling of electrophysiological models 

      Montes Novaes, Gustavo; Oliveira Campos, Joventino; Álvarez Lacalle, Enrique; Alonso Muñoz, Sergio; Martins Rocha, Bernardo; Weber dos Santos, Rodrigo (2019-06-08)
      Capítol de llibre
      Accés obert
      The number of computational models in cardiac research has grown over the last decades. Every year new models with di erent assumptions appear in the literature dealing with di erences in interspecies cardiac properties. ...

    • Economic determinants of employment sentiment: a socio-demographic analysis for the euro area 

      Claveria González, Oscar; Lolic, Ivana; Monte Moreno, Enrique; Torra Porras, Salvador; Soric, Petar (2020-07-07)
      Report de recerca
      Accés obert
      In this study we construct quarterly consumer confidence indicators of unemployment for the euro area using as input the consumer expectations for sixteen socio-demographic groups elicited from the Joint Harmonised EU ...

    • Empirical modelling of survey-based expectations for the design of economic indicators in five European regions 

      Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-01-09)
      Article
      Accés obert
      In this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and ...

    • Estudio de bloques constructivos en algoritmos genéticos 

      Murias Rodríguez, Angel (Universitat Politècnica de Catalunya, 2007-12-10)
      Projecte/Treball Final de Carrera
      Accés obert
      Estudio experimental sobre el efecto de las modificaciones en los bloques constructivos. Para conseguirlo, primero se ha diseñado un algoritmo genético genérico con posibilidad de adaptarlo a un problema específico (función ...

    • Evolutionary computation for macroeconomic forecasting 

      Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-11-07)
      Article
      Accés obert
      The main objective of this study is twofold. First, we propose an empirical modelling approach based on genetic programming to forecast economic growth by means of survey data on expectations. We use evolutionary algorithms ...

    • Genetic programming and standardization in water temperature modelling 

      Arganis Juarez, Maritza Liliana; Val Segura, Rafael; Prats Rodríguez, Jordi; Rodríguez, Katya; Domínguez, Ramón; Dolz Ripollès, Josep (2009)
      Article
      Accés obert
      An application of Genetic Programming (an evolutionary computational tool) without and with standardization data is presented with the aim of modeling the behavior of the water temperature in a river in terms of meteorological ...

    • Intensive crossovers: Improving quality in a genetic query optimizer 

      Muntés Mulero, Víctor; Aguilar Saborit, Josep; Zuzarte, Calisto; Larriba Pey, Josep (International Centre for Numerical Methods in Engineering (CIMNE), 2006)
      Text en actes de congrés
      Accés obert
      Database schemas and user queries are continuously growing with the need for storing and accessing large amounts of structured information. Among the several proposals to deal with Large Join Query Problem, genetic optimizers ...

    • Let the data do the talking: empirical modelling of survey-based expectations by means of genetic programming 

      Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-07-05)
      Report de recerca
      Accés obert
      In this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and ...

    • Nowcasting and forecasting GDP growth with machine-learning sentiment indicators 

      Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2021-02-17)
      Report de recerca
      Accés obert
      We apply the two-step machine-learning method proposed by Claveria et al. (2021) to generate country-specific sentiment indicators that provide estimates of year-on-year GDP growth rates. In the first step, by means of ...

    • On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race 

      Trujillo, Leonardo; Álvarez González, Ernesto; Ponsich, Antonin Sebastien; Galván, Edgar; Tapia, Juan J. (Springer, 2020-10)
      Article
      Accés obert
      Evolutionary algorithms (EAs) have been with us for several decades and are highly popular given that they have proved competitive in the face of challenging problems’ features such as deceptiveness, multiple local optima, ...

    • Optimización global con algoritmos genéticos 

      Carretero López, Félix (Universitat Politècnica de Catalunya, 2010-11-11)
      Treball Final de Grau
      Accés obert

    • Petri-nets-based controllers generation using genetic programming 

      García Sánchez, Carlos Andrés; Velasco García, Manel; Angulo Bahón, Cecilio; Martí Colom, Pau; Camacho Santiago, Antonio (IOS Press, 2023-10)
      Capítol de llibre
      Accés obert
      Existing research has shown the effectiveness of genetic strategies in generating Petrin-Net (PN)-based controllers, but limitations exist in the ease of controller generation due to the designer’s ability and the system’s ...

    • Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in central and eastern european economies 

      Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-03-21)
      Article
      Accés obert
      Tendency surveys are the main source of agents' expectations. This study has a twofold aim. First, it proposes a new method to quantify survey-based expectations by means of symbolic regression (SR) via genetic programming. ...

    • Revisiting classical controller design and tuning with genetic programming 

      García Sánchez, Carlos Andrés; Velasco García, Manel; Angulo Bahón, Cecilio; Martí Colom, Pau; Camacho Santiago, Antonio (2023-12-09)
      Article
      Accés obert
      This paper introduces the application of a genetic programming (GP)-based method for the automated design and tuning of process controllers, representing a noteworthy advancement in artificial intelligence (AI) within the ...

    • Scheduling for Ground Stations using Genetic Algorithm 

      Sun, Junzi (Universitat Politècnica de Catalunya, 2010-09-08)
      Projecte Final de Màster Oficial
      Accés restringit per decisió de l'autor
      This work presents a Genetic Algorithm (GA) approach to Ground Station (GS) and Spacecraft (SC) Scheduling problem, which is based on the space missions and ground stations from ESA (European Space Agency). Genetic ...

    • Short-Term load forecasting using cartesian genetic programming: an efficient evolutive strategy case: Australian electricity market 

      Giacometto Torres, Francisco; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2015)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Currently, the Cartesian Genetic Programming approaches applied to regression problems tackle the evolutive strategy from a static point of view. They are confident on the evolving capacity ...

    • Tracking economic growth by evolving expectations via genetic programming: a two-step approach 

      Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-10-09)
      Report de recerca
      Accés obert
      The main objective of this study is to present a two-step approach to generate estimates of economic growth based on agents’ expectations from tendency surveys. First, we design a genetic programming experiment to derive ...

    • Unemployment expectations: A socio-demographic analysis of the effect of news 

      Soric, Petar; Lolic, Ivana; Claveria González, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2019-10-01)
      Article
      Accés obert
      In this study, we evaluate the effect of news on consumer unemployment expectations for sixteen socio-demographic groups. To this end, we construct an unemployment sentiment indicator and extract news about several economic ...