References

• 1. 1)
     • 4. Dorigo, M., Birattari, M.: ‘Ant colony optimization’, In Sammut, C., Webb, G.I. (eds): ‘Encyclopedia of machine learning’ (Springer, Boston, MA, 2011), pp. 4899–7687, doi: https://doi.org/10.1007/978-0-387-30164-8.
  2. 2)
     • 7. Metta, V.P., Kelemenová, A.: ‘Sorting using spiking neural P systems with anti-spikes and rules on synapses’, In: Rozenberg, G., Salomaa, A., Sempere, J., Zandron, C. (eds): ‘International Conference on Membrane Computing’ (Springer, Cham, Switzerland, 2015), pp. 290–303.
  3. 3)
     • 8. Rong, H., Wu, T., Pan, L., et al: ‘Spiking neural P systems: theoretical results and applications: essays dedicated to mario de jesús pérez-jiménez on the occasion of his 70th birthday’, 2018, doi: 10.1007/978-3-030-00265-7_20.
  4. 4)
     • 2. Păun, G.: ‘A quick introduction to membrane computing’, J.Logic Algebr. Program., 2010, 79, (6), pp. 291–294, ISSN 1567-8326. Available at https://doi.org/10.1016/j.jlap.2010.04.002.
  5. 5)
     • 6. Paun, G., Pérez-Jiménez, M., Rozenberg, G.: ‘Spike trains in spiking neural P systems’, Int. J. Found. Comput. Sci., 2006, 17, pp. 975–1002. (doi: 10.1142/S0129054106004212).
  6. 6)
     • 1. Ionescu, M., Pǎun, G., Yokomori, T.: ‘Spiking neural P systems’, Fundam. Inform., 2006, 71, (2-3), pp. 279–308. Available at https://waseda.pure.elsevier.com/en/publications/spiking-neuralp-systems.
  7. 7)
     • 3. Marco, D., Birattari, M., Stutzle, T.: ‘Ant colony optimization’, IEEE Comput. Intell. Mag., 2006, 1, (4), pp. 28–39 (doi: 10.1109/CI-M.2006.248054).
  8. 8)
     • 5. Zeng, X., Song, T., Pan, L., et al: ‘Spiking neural P systems for arithmetic operations’. 2011 Sixth Int. Conf. on Bio-Inspired Computing: Theories and Applications, Penang, 2011, pp. 296–301. doi: 10.1109/BIC-TA.2011.42.