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The power of time-free tissue P systems: Attacking NP-complete problems

  • Xiangrong Liu
  • , Juan Suo
  • , Stephen C.H. Leung
  • , Juan Liu
  • , Xiangxiang Zeng*
  • *Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    Tissue P systems, which are inspired from the structures and functions of biological tissues, are a class of distributed and parallel computing models. In traditional tissue P systems, each rule (abstracted from biochemical reaction) has precise global execution time. The restriction on the execution time does not coincide with the biological fact, since the execution time of biochemical reaction can vary because of external uncontrollable conditions. In this work, we investigate a class of tissue P systems with no restriction on the execution time of each rule, named time-free tissue P systems. As a result, it is proved that the execution time of the rules has no influence on the computation results of the systems. Moreover, we consider the computational efficiency of time-free tissue P systems and prove that the Maximum Clique Problem and Hamilton Path Problem can be solved in this way in polynomial time with respect to the size of the problems.
    Original languageEnglish
    Pages (from-to)151-156
    JournalNeurocomputing
    Volume159
    Issue number1
    Online published18 Feb 2015
    DOIs
    Publication statusPublished - 2 Jul 2015

    Research Keywords

    • Hamilton path problem
    • Maximum clique problem
    • Membrane computing
    • Time-free solution
    • Tissue P systems

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