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Pérez-Hurtado, I., Valencia-Cabrera L., Chacón J. M., Riscos-Núñez A., & Pérez-Jiménez M. J. (2013).  A P-Lingua based simulator for tissue P systems with cell separation. (Gexiang Zhang, Y. Wang, J. Cheng, T. Wang, Ed.).Second Asian Conference on Membrane Computing. 208-220.
Pérez-Hurtado, I., Orellana-Martín D., Martínez-del-Amor M. A., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  11 years of P-Lingua: A backward glance. 20th International Conference on Membrane Computing, CMC20. 451-462.
Pérez-Hurtado, I., Orellana-Martín D., Zhang G., & Pérez-Jiménez M. J. (2019).  P-Lingua in two steps: flexibility and efficiency. Journal of Membrane Computing. 1, 93–102.
Pérez-Hurtado, I., Orellana-Martín D., Martínez-del-Amor M. A., & Valencia-Cabrera L. (2021).  A membrane computing framework for social navigation in robotics. Computers and Electrical Engineering. 95, 107408.
Pérez-Hurtado, I., Martínez-del-Amor M. A., Zhang G., Neri F., & Pérez-Jiménez M. J. (2019).  Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems. The 8th Asian Conference on Membrane Computing (ACMC2019).
Pérez-Hurtado, I., Orellana-Martín D., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  A syntax for semantics in P-Lingua. Seventeenth Brainstorming Week on Membrane Computing. 139-150.
Pérez-Hurtado, I., Pérez-Jiménez M. J., Riscos-Núñez A., & Romero-Campero F. J. (2011).  Membrane Computing (Tutorial). Lecture Notes in Computer Science. 6714, 38-39.
Pérez-Hurtado, I., Pérez-Jiménez M. J., Zhang G., & Orellana-Martín D. (2018).  Robot path planning using rapidly-exploring random trees: A membrane computing approach. 7th International Conference on Computers Communications and Control (ICCCC2018).
Pérez-Hurtado, I., Orellana-Martín D., Martínez-del-Amor M. Á., Valencia-Cabrera L., & Riscos-Núñez A. (2022).  A new P-Lingua toolkit for agile development in membrane computing. Information Sciences. 587, 1-22.
Pérez-Hurtado, I., Valencia-Cabrera L., Pérez-Jiménez M. J., Colomer A. M., & Riscos-Núñez A. (2010).  MeCoSim: A general purpose software tool for simulating biological phenomena by means of P Systems. (K. Li, Z. Tang, R. Li, Atulya Nagar, R. Thamburaj, Ed.).IEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010). I, 637-643. Abstract
Pérez-Hurtado, I. (2017).  Generation of rapidly-exploring random tree by using a new class of membrane systems. Asian Conference on Membrane Computing (ACMC 2017). 534-546.
Pérez-Hurtado, I., Martínez-del-Amor M. A., Zhang G., Neri F., & Pérez-Jiménez M. J. (2020).  A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning. Integrated Computer-Aided Engineering. 27(2), 121-138. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., Riscos-Núñez A., Xiao J., & Zhang G. (2015).  Decision Tree Models Induced by Membrane Systems. Workshop on Membrane Computing 2015 (WMC2015), Satellite workshop of UCNC2015. 107-116.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  An unsupervised learning algorithm for membrane computing. Information Sciences. 304, 80–91.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2019).  Dynamic threshold neural P systems. Knowledge-Based Systems. 163, 875-884.
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., Lv Z., Li B., Luo X., Wang J., Song X., et al. (2020).  Nonlinear Spiking Neural P Systems. International Journal of Neural Systems. 30(10), 2050008.
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., Li B., Wang J., Song X., Wang T., Valencia-Cabrera L., et al. (2020).  Spiking neural P systems with inhibitory rules. Knowledge-Based Systems. 188, 105064. Abstract
Peng, H., Wang J., & Pérez-Jiménez M. J. (2015).   Optimal multi-level thresholding with membrane computing. Digital Signal Processing. 37, 53–64.
Peng, H., Wang J., Pérez-Jiménez M. J., & Shi P. (2013).  A novel image thresholding method based on membrane computing and fuzzy entropy. Journal of Intelligent and Fuzzy Systems. 2, 229-237. Abstract
Peng, H., Zhang J., Wang J., Wang T., Pérez-Jiménez M. J., & Riscos-Núñez A. (2014).  Membrane Clustering: A Novel Clustering Algorithm under Membrane Computing. Twelfth Brainstorming Week on Membrane Computing (BWMC2014). 311-328.
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., Shi P., Wang J., Riscos-Núñez A., & Pérez-Jiménez M. J. (2017).  Multiobjective fuzzy clustering approach based on tissue-like membrane systems. Knowledge-Based Systems. 125, 74-82.
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

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)