Skip to main content
Log in

P systems based computing polynomials: design and formal verification

  • Published:
Natural Computing Aims and scope Submit manuscript

Abstract

Automatic design of P systems is an attractive research topic in the community of membrane computing. Differing from the previous work that used evolutionary algorithms to fulfill the task, this paper presents the design of a (deterministic transition) P system (without input membrane) of degree 1, capturing the value of an arbitrary k-order (\(k\ge 2\)) polynomial p(n) by using a reasoning method. Specifically, the values of p(n) corresponding to a natural number t is equal to the multiplicity of a distinguished object of the system (the output object) in the configuration at instant t. We also discuss the descriptive computational resources required by the designed k-order polynomial P system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Alhazov A, Martín-Vide C, Pan L (2003) Solving a pspace-complete problem by recognizing P systems with restricted active membranes. Fundam Inform 58(2):67–77

    MathSciNet  MATH  Google Scholar 

  • Chen Y, Zhang G, Wang T, Huang X (2014) Automatic design of a p system for basic arithmetic operations. Chin J Electron 23(2):302–304

    Google Scholar 

  • Escuela G, Gutiérrez-Naranjo MA (2010) An application of genetic algorithms to membrane computing. In: Proceedings of the 8th brainstorming week on membrane computing. Fénix Editora, Sevilla, Spain, pp 101–108

  • He J, Xiao J, Liu X, Wu T, Song T (2015) A novel membrane-inspired algorithm for optimizing solid waste transportation. Optik Int J Light Electron Optics 126(23):3883–3888

    Article  Google Scholar 

  • Huang X, Zhang G, Rong H, Ipate F (2011) Evolutionary design of a simple membrane system. In: Gheorghe M, Paun G, Rozenberg G, Salomaa A, Verlan S (eds) Proceedings of international conference on membrane computing. Springer, Lecture Notes in Computer Science, vol 7184, pp 203–214

  • Liu X, Suo J, Leung SCH, Liu J, Zeng X (2015) The power of time-free tissue P systems: attacking np-complete problems. Neurocomputing 159:151–156

    Article  Google Scholar 

  • Ou Z, Zhang G, Wang T, Huang X (2013) Automatic design of cell-like p systems through tuning membrane structures, initial objects and evolution rules. Int J Unconv Comput 9(5–6):425–443

    Google Scholar 

  • Pan L, Păun G, Pérez-Jiménez MJ (2011) Spiking neural P systems with neuron division and budding. SCI CHINA Inf Sci 54(8):1596–1607

    Article  MathSciNet  MATH  Google Scholar 

  • Păun G (2000) Computing with membranes. J Comput Syst Sci 61(1):108–143

    Article  MathSciNet  MATH  Google Scholar 

  • Păun G, Rozenberg G, Salomaa AE (2010) The Oxford Handbook of membrane computing. Oxford University Press, New York

    Book  MATH  Google Scholar 

  • Song T, Macías-Ramos LF, Pan L, Pérez-Jiménez MJ (2014) Time-free solution to SAT problem using P systems with active membranes. Theoret Comput Sci 529:61–68

    Article  MathSciNet  MATH  Google Scholar 

  • Song T, Zou Q, Liu X, Zeng X (2015) Asynchronous spiking neural P systems with rules on synapses. Neurocomputing 151:1439–1445

    Article  Google Scholar 

  • Tudose C, Lefticaru R, Ipate F (2011) Using genetic algorithms and model checking for p systems automatic design. In: Pelta DA, Krasnogor N, Dumitrescu D, Chira C, Lung RI (eds) Studies in computational intelligence, vol 387. NICSO, Springer, New York, pp 285–302

    Google Scholar 

  • Wang X, Zhang G, Neri F, Jiang T, Gheorghe M, Ipate F, Lefticaru R (2016) Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots. Integr Comput Aided Eng 23:15–30

    Article  Google Scholar 

  • Xiao J, Huang Y, Cheng Z, He J, Niu Y (2014) A hybrid membrane evolutionary algorithm for solving constrained optimization problems. Optik 125(2):897–902

    Article  Google Scholar 

  • Zhang G, Cheng J, Gheorghe M, Meng Q (2013) A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems. Appl Soft Comput 13(3):1528–1542

    Article  Google Scholar 

  • Zhang G, Gheorghe M, Pan L, Pérez-Jiménez MJ (2014a) Evolutionary membrane computing: a comprehensive survey and new results. Inf Sci 279:528–551

    Article  Google Scholar 

  • Zhang G, Rong H, Neri F, Pérez-Jiménez MJ (2014b) An optimization spiking neural P system for approximately solving combinatorial optimization problems. Int J Neural Syst 24(5):Article No. 1440,006

  • Zhang G, Rong H, Ou Z, Pérez-Jiménez MJ, Gheorghe M (2014c) Automatic design of deterministic and non-halting membrane systems by tuning syntactical ingredients. IEEE Trans Nanobiosci 13(3):363–371

    Article  Google Scholar 

  • Zhang G, Cheng J, Wang T, Wang X, Zhu J (2015) Membrane computing: theory and applications. Science Press, Beijing

    Google Scholar 

  • Zhang X, Liu Y, Luo B, Pan L (2014d) Computational power of tissue P systems for generating control languages. Inf Sci 278:285–297

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

The work of W. Yuan, G. Zhang, T. Wang and Z. Huang is supported by the National Natural Science Foundation of China (61170016, 61373047). The work of M.J. Pérez-Jiménez is supported by Project TIN2012-37434 of the Ministerio de Economía y Competitividad of Spain, cofinanced by FEDER funds.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gexiang Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yuan, W., Zhang, G., Pérez-Jiménez, M.J. et al. P systems based computing polynomials: design and formal verification. Nat Comput 15, 591–596 (2016). https://doi.org/10.1007/s11047-016-9577-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11047-016-9577-y

Keywords

Navigation