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Pérez-Jiménez, M. J., & Romero-Campero F. J. (2004).  An efficient family of P systems for packing items into bins. Journal of Universal Computer Science. 10(5), 650-670. Abstract
Díaz-Pernil, D., Pérez-Jiménez M. J., & Romero-Jiménez Á. (2009).  Efficient simulation of tissue-like P systems by transition cell-like P systems. Natural Computing. 8(4), 797-806. Abstract
Díaz-Pernil, D., Gutiérrez-Naranjo M. A., Pérez-Jiménez M. J., & Riscos-Núñez A. (2006).  An efficient solution to 3-COL with tissue P systems. Workshop on Membrane Computing and Biologically Inspired Process Calculi. 1-12.
Song, B., Pérez-Jiménez M. J., & Pan L. (2015).  Efficient solutions to hard computational problems by P systems with symport/antiport rules and membrane division. Biosystems. 130, 51-58. Abstract
Song, B., Pérez-Jiménez M. J., & Pan L. (2017).  An efficient time-free solution to QSAT problem using P systems with proteins on membranes. Information and Computation. 2560, 287-299.
Song, B., Pérez-Jiménez M. J., & Pan L. (2016).  An efficient time-free solution to SAT problem by P systems with proteins on membranes. Journal of Computer and System Sciences. 82(6), 1090-1099. Abstract
Cecilia, J. M., Guerrero G. D., García J. M., Martínez-del-Amor M. A., Pérez-Jiménez M. J., & Ujaldón M. (2010).  Enhancing the Simulation of P Systems for the SAT Problem on GPUs. Symposium on Application Accelerators in High Performance Computing. Abstract
Pérez-Jiménez, M. J. (1992).  Esquemas del Máximo en la Aritmética. 9+2 microfilms.
Zhang, G., Gheorghe M., Pan L., & Pérez-Jiménez M. J. (2014).  Evolutionary membrane computing: a comprehensive survey and new results. Information Sciences. 279, 528–551.
García-Quismondo, M., Reed M. J., Chew F. S., Martínez-del-Amor M. A., & Pérez-Jiménez M. J. (2017).  Evolutionary response of a native butterfly to concurrent plant invasions: simulation of population dynamics. Ecological Modelling. 360, 410-424. Abstract
Cordón-Franco, A., Gutiérrez-Naranjo M. A., Pérez-Jiménez M. J., & Riscos-Núñez A. (2005).  Exploring computation trees associated with P systems. Lecture Notes in Computer Science. 3365, 278-286. Abstract
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2016).  An extended membrane system with active membranes to solve automatic fuzzy clustering problems. International Journal of Neural Systems. 1-11. Abstract
Macías-Ramos, L. F., Pérez-Jiménez M. J., Song T., & Pan L. (2015).  Extending Simulation of Asynchronous Spiking Neural P Systems in P–Lingua. Fundamenta Informaticae. 136(3), 253-267.
Macías-Ramos, L. F., Song T., Pan L., & Pérez-Jiménez M. J. (2014).  Extending SNP Systems Asynchronous Simulation Modes in P-Lingua. Twelfth Brainstorming Week on Membrane Computing (BWMC2014). 261-280.
F
Orellana-Martín, D., Valencia-Cabrera L., & Pérez-Jiménez M. J. (2018).  The factorization problem: A new approach through membrane systems. Workshop on Membrane Computing, satellite workshop of 17th International Conference on Unconventional Computation and Natural Computation (UCNC 2018).
Gutiérrez-Naranjo, M. A., Pérez-Jiménez M. J., & Riscos-Núñez A. (2005).  A fast P system for finding a balanced 2-partition. Soft Computing. 9(9), 673-678. Abstract
Díaz-Pernil, D., Gutiérrez-Naranjo M. A., Pérez-Jiménez M. J., & Riscos-Núñez A. (2008).  A Fast Solution to the Partition Problem by Using Tissue-Like P Systems. (D. Kearney, V. Nguyen, G. Gioiosa, T. Hendtlass, Ed.).Third International Conference on Bio-Inspired Computing. 43 - 47.
Wang, T., Wang J., Fan Z., Wei X., Zang T., Pérez-Jiménez M. J., et al. (2017).  Fault diagnosis for multi-energy flows of energy internet: Framework and prospect. 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). 1-5.
Wang, J., Peng H., Tu M., Pérez-Jiménez M. J., & Shi P. (2016).  A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms. Signal Processing. 25, 320-327. Abstract
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2014).  Fault Diagnosis Models for Electric Locomotive Systems Based on Fuzzy Reasoning Spiking Neural P Systems. 15th Conference on Membrane Computing, pre-proceedings. 361-374.
Wang, T., Zhang G., Zhao J., He Z., Wang J., & Pérez-Jiménez M. J. (2015).  Fault diagnosis of electric power systems based on fuzzy reasoning spiking neural P systems. IEEE Transactions on Power Systems. 30(3), 1182-1194. Abstract
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2017).  Fault diagnosis of power systems using fuzzy tissue-like P systems. Integrated Computer-Aided Engineering. vol. 24, no. 4, 401-411.
Peng, H., Wang J., Ming J., Shi P., Pérez-Jiménez M. J., Yu W., et al. (2018).  Fault diagnosis of power systems using intuitionistic fuzzy spiking neural P systems. IEEE Transactions on Smart Grid.
Wang, T., Zeng S., Zhang G., Pérez-Jiménez M. J., & Wang J. (2015).  Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems. Workshop on Membrane Computing 2015 (WMC2015), Satellite workshop of UCNC2015. 117-127.
García-Quismondo, M., Henley B. M., Pérez-Hurtado I., & Riscos-Núñez A. (2009).  A first attempt to model notch signalling by means of P systems. (Gheorghe Paun, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez, Ed.).10th Workshop on Membrane Computing. 265-268. Abstract

Statistics

  • Books (11)
  • Edited Books (28)
  • Contributions to Book Chapters (42)
  • Journal Papers (421)
  • Papers in Collective Volumes (0)
  • Technical Reports (3)
  • Conference Contributions (289)
  • Conference Proceedings (38)