Publicaciones en colaboración con investigadores/as de Universidad de Sevilla (17)

2012

  1. Comparing simulation algorithms for multienvironment probabilistic P systems over a standard virtual ecosystem

    Natural Computing

  2. DCBA: Simulating population dynamics P systems with proportional object distribution

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

2010

  1. A P system based model of an ecosystem of some scavenger birds

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

  2. A new simulation algorithm for multienvironment probabilistic P systems

    Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

  3. A uniform framework for modeling based on P systems

    Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

  4. MeCoSim: A general purpose software tool for simulating biological phenomena by means of P systems

    Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

  5. Modeling Population Growth of Pyrenean Chamois (Rupicapra p. pyrenaica) by Using P-Systems

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

  6. Simulating tritrophic interactions by means of P systems

    Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

2009

  1. Modeling ecosystems using P systems: The bearded vulture, a case study

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

  2. P systems computing the period of irreducible Markov chains

    International Journal of Computers, Communications and Control, Vol. 4, Núm. 3, pp. 291-300

2006

  1. Classifying states of a finite Markov chain with membrane computing

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

  2. Handling Markov chains with membrane computing

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