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A Protocol for Solutions to DP-Complete Problems through Tissue Membrane Systems

Author

Listed:
  • David Orellana-Martín

    (Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain
    SCORE Laboratory, I3US, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain)

  • Antonio Ramírez-de-Arellano

    (Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain
    SCORE Laboratory, I3US, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain)

  • José Antonio Andreu-Guzmán

    (Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain)

  • Álvaro Romero-Jiménez

    (Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain
    SCORE Laboratory, I3US, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain)

  • Mario J. Pérez-Jiménez

    (Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain
    SCORE Laboratory, I3US, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain)

Abstract

Considering a class R comprising recognizer membrane systems with the capability of providing polynomial-time and uniform solutions for NP -complete problems (referred to as a “presumably efficient” class), the corresponding polynomial-time complexity class PMC R encompasses both the NP and co - NP classes. Specifically, when R represents the class of recognizer presumably efficient cell-like P systems that incorporate object evolution rules, communication rules, and dissolution rules, PMC R includes both the DP and co - DP classes. Here, DP signifies the class of languages that can be expressed as the difference between any two languages in NP (it is worth noting that NP ⊆ DP and co - NP ⊆ co - DP ). As DP -complete problems are believed to be more complex than NP -complete problems, they serve as promising candidates for studying the P vs. NP problem. This outcome has previously been established within the realm of recognizer P systems with active membranes. In this paper, we extend this result to encompass any class R of presumably efficient recognizer tissue-like membrane systems by presenting a detailed protocol for transforming solutions of NP -complete problems into solutions of DP -complete problems.

Suggested Citation

  • David Orellana-Martín & Antonio Ramírez-de-Arellano & José Antonio Andreu-Guzmán & Álvaro Romero-Jiménez & Mario J. Pérez-Jiménez, 2023. "A Protocol for Solutions to DP-Complete Problems through Tissue Membrane Systems," Mathematics, MDPI, vol. 11(13), pages 1-13, June.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:13:p:2797-:d:1176368
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