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M
Murphy, N., & Porreca A. E. (2010).  First Steps Towards Linking Membrane Depth and the Polynomial Hierarchy. Eighth Brainstorming Week on Membrane Computing. 255-266.
N
Nagar, A., & Paun G. (2012).  Foreword. Natural Computing. 11(3), 351-352.
O
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).
P
Paun, G. (2005).  Further Twenty Six Open Problems in Membrane Computing. (Miguel A. Gutiérrez-Naranjo, Agustín Riscos-Núñez, Francisco J. Romero-Campero, Dragos Sburlan, Ed.).Third Brainstorming Week on Membrane Computing. 249-262.
Paun, G., & Pérez-Jiménez M. J. (2005).  Foreword. Second Brainstorming Week on Membrane Computing in Seville 2004. Soft Computing. 9(9), 629-630.
Paun, G., & Pérez-Jiménez M. J. (2009).  Foreword. Special issue: Membrane Computing. Fifth Brainstorming Week on Membrane Computing.. International Journal of Unconventional Computing. 5(5), 389-390. Abstract
Paun, G. (2008).  From cells to (silicon) computers, and back. (S. Barry Cooper, Benedikt Löwe, Andrea Sorbi, Ed.).New Computational Paradigms. 343-371. Abstract
Paun, G., Mitrana V., & Martín-Vide C. (2004).  Formal languages and Applications. 620.
Paun, G., & Pérez-Jiménez M. J. (2010).  Foreword. Special issue on Membrane Computing. Romanian Journal of Information Science and Technology. 13(2), 111-112.
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., Pérez-Jiménez M. J., Wang H., Shao J., & Wang T. (2013).  Fuzzy reasoning spiking neural P system for fault diagnosis. Information Sciences. 235, 106–116. Abstract
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.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2014).  The framework of P systems applied to solve optimal watermarking problem. Signal Processing. 101, 256-265.
Pérez-Jiménez, A. J., Pérez-Jiménez M. J., & Sancho-Caparrini F. (2003).  Formal verification of a transition P system generating the set 2^n+n^2+n:n>=1. (Matteo Cavaliere, Carlos Martín-Vide, Gheorghe Paun, Ed.).First Brainstorming Week on Membrane Computing. 261-269.
Pérez-Jiménez, M. J., & Sancho-Caparrini F. (2002).  A Formalization of Transition P Systems. Fundamenta Informaticae. 49(1-3), 261-272. Abstract
Pérez-Jiménez, M. J., & Sancho-Caparrini F. (2005).  Formal verification of programs in molecular models with random access memory. (Mario J. Pérez-Jiménez, Álvaro Romero-Jiménez, Fernando Sancho-Caparrini, Ed.).Recent results in Natural Computing. 205-229.
Pérez-Jiménez, M. J., Sancho-Caparrini F., Graciani-Díaz C., & Romero-Jiménez Á. (2002).  Formalización computacional del experimento de Lipton sobre el problema SAT. Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados. 326-332.
Pérez-Jiménez, M. J., Graciani C., Orellana-Martín D., Riscos-Núñez A., Romero-Jiménez Á., & Valencia-Cabrera L. (2017).  Fuzzy Reasoning Spiking Neural P systems revisited: A formalization. Theoretical Computer Science. 701, 216-225.
R
Riscos-Núñez, A. (2009).  A framework for complexity classes in membrane computing. Electronic Notes in Theoretical Computer Science. 225, 319-328. Abstract
V
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., Riscos-Núñez A., & Pérez-Jiménez M. J. (2018).  From distribution to replication in cooperative systems with active membranes: A frontier of the efficiency. Theoretical Computer Science. 736, 15-24.
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., & Pérez-Jiménez M. J. (2017).  From Super-cells to Robotic Swarms: Two Decades of Evolution in the Simulation of P Systems. Bulletin of the International Membrane Computing Society. 4, 65-88.
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., Pérez-Hurtado I., & Pérez-Jiménez M. J. (2020).  From NP-Completeness to DP-Completeness: A Membrane Computing Perspective. Complexity. 2020, 10.
W
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2015).  Fuzzy Membrane Computing: Theory and Applications. International Journal of Computers, Communications and Control. 10(6), 904-935. Abstract
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
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

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)