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2019
Zang, T., Lei J., Wei X., Huang T., Wang T., Pérez-Jiménez M. J., et al. (2019).  Adjacent Graph Based Vulnerability Assessment for Electrical Networks Considering Fault Adjacent Relationships Among Branches. IEEE Access. 7, 88927-88936. Abstract
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  An apparently innocent problem in Membrane Computing. Seventeenth Brainstorming Week on Membrane Computing,. 127-138.
Valencia-Cabrera, L., Orellana-Martín D., Pérez-Hurtado I., & Pérez-Jiménez M. J. (2019).  Dependency Graph Technique Revisited. 20th International Conference on Membrane Computing, CMC20. 513-522.
Martínez-del-Amor, M. A., Orellana-Martín D., Pérez-Hurtado I., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  Design of Specific P Systems Simulators on GPUs. (Thomas Hinze, Grzegorz Rozenberg, Arto Salomaa, Claudio Zandron, Ed.).Membrane Computing. 11399(2-3), 202–207. Abstract
Cámpora Pérez, D. H., Neufeld N., & Riscos-Núñez A. (2019).  A Fast Local Algorithm for Track Reconstruction on Parallel Architectures. 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Casauay, L. J., Macababayao I. C., Cabarle F. G., de la Cruz R. T., Adorna H. N., Zeng X., et al. (2019).  A Framework for Evolving Spiking Neural Systems. The 8th Asian Conference on Membrane Computing (ACMC2019).
Moredo, C. A., Supelana R. C., Cailipan D. P., Cabarle F. G., de la Cruz R. T., Adorna H. N., et al. (2019).  A Framework for Evolving Spiking Neural P Systems with Rules on Synapses. The 8th Asian Conference on Membrane Computing (ACMC2019).
Carandang, J. P., Cabarle F. G., Adorna H. N., Hernandez N. H. S., & Martínez-del-Amor M. A. (2019).  Handling Non-determinism in Spiking Neural P Systems: Algorithms and Simulations. Fundamenta Informaticae. 164, 139-155.
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., & Pérez-Jiménez M. J. (2019).  An interactive timeline of simulators in membrane computing. Journal of Membrane Computing. 1, 209–222.
Wang, J., Peng H., Yu W., Ming J., Pérez-Jiménez M. J., Tao C., et al. (2019).  Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks. Engineering Applications of Artificial Intelligence. 82, 102 - 109. Abstract
Wang, T., Wei X., Huang T., Wang J., Peng H., Pérez-Jiménez M. J., et al. (2019).  Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration. IEEE Access. 7, 12798-12808.
Valencia-Cabrera, L., Orellana-Martín D., Pérez-Hurtado I., & Pérez-Jiménez M. J. (2019).  New applications for an old tool. Seventeenth Brainstorming Week on Membrane Computing. 165-170.
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  A new perspective on computational complexity theory in Membrane Computing. Seventeenth Brainstorming Week on Membrane Computing, . 117-125.
Aboy, B. C. D., Bariring E. J. A., Carandang J. P., Cabarle F. G. C., Cruz D. L. R. T., Adorna H. N., et al. (2019).  Optimizations in CuSNP simulator for Spiking Neural P Systems on CUDA GPUs. 2nd BICAS Special Session, 2019 High Performance Computing & Simulation (HPCS 2019). 535-542.
Alhazov, A., Freund R., Ivanov S., & Pérez-Jiménez M. J. (2019).  P Systems: From anti-matter to anti-rules. Seventeenth Brainstorming Week on Membrane Computing. 41-58.
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  A path to computational efficiency through membrane computing. Theoretical Computer Science. 777, 443 - 453.
Pan, L., Pérez-Jiménez M. J., & Zhang G. (2019).  Preface. Bio-inspired Computing: Theories and Applications. Fundamenta Informaticae. 164(2-3), i-ii.
Pérez-Jiménez, M. J., Riscos-Núñez A., Valencia-Cabrera L., & Orellana-Martín D. (2019).  Results on Computational Complexity in Bio-inspired Computing. Bio-Inspired Computing Models and Algorithms. 33-73. Abstract
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  Solving problems through a single membrane system. 20th International Conference on Membrane Computing, CMC20. 439-450.
Ye, L., Zheng J., Guo P., & Pérez-Jiménez M. J. (2019).  Solving the 0-1 Knapsack Problem by Using Tissue P System With Cell Division. IEEE Access. 7, 66055-66067.
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).
Peng, H., Li B., Wang J., Song X., Wang T., Valencia-Cabrera L., et al. (2019).  Spiking neural P systems with inhibitory rules. Knowledge-Based Systems. 105064. Abstract
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.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2019).  Dynamic threshold neural P systems. Knowledge-Based Systems. 163, 875-884.
Wang, T., Wei X., Huang T., Wang J., Valencia-Cabrera L., Fan Z., et al. (2019).  Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids. Complexity. 2019, 1-15.