Publicacións nas que colabora con José Luis Montaña Arnaiz (12)

2016

  1. Genetic programming model regularization

    Studies in Computational Intelligence (Springer Verlag), pp. 105-120

  2. Model-driven regularization approach to straight line program genetic programming

    Expert Systems with Applications, Vol. 57, pp. 76-90

2014

  1. A sharp fitness function for the problem of finding roots of polynomial equations systems

    ECTA 2014 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications

2013

  1. Model Complexity control in straight line program genetic programming

    IJCCI 2013 - Proceedings of the 5th International Joint Conference on Computational Intelligence

2012

  1. Model regularization in coevolutionary architectures evolving straight line code

    Studies in Computational Intelligence

2011

  1. Penalty Functions for Genetic Programming Algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Coevolutionary architectures with straight line programs for solving the symbolic regression problem

    ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation

  2. Model selection in genetic programming

    Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10

2009

  1. A new linear genetic programming approach based on straight line programs: Some theoretical and experimental aspects

    International Journal on Artificial Intelligence Tools, Vol. 18, Núm. 5, pp. 757-781

  2. Adaptation, performance and vapnik-chervonenkis dimension of straight line programs

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Evolution strategies for constants optimization in genetic programming

    Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

  4. Lower bounds for approximation of some classes of lebesgue measurable functions by sigmoidal neural networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)