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Characterizing Tractability by Tissue-Like P Systems

机译:用组织样P系统表征途径

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In the framework of recognizer cell-like membrane systems it is well known that the construction of exponential number of objects in polynomial time is not enough to efficiently solve NP-complete problems. Nonetheless, it may be sufficient to create an exponential number of membranes in polynomial time. In this paper, we study the computational efficiency of recognizer tissue P systems with communication (symport/antiport) rules and division rules. Some results have been already obtained in this direction: (a) using communication rules and making no use of division rules, only tractable problems can be efficiently solved; (b) using communication rules with length three and division rules, NP-complete problems can be efficiently solved. In this paper, we show that the length of communication rules plays a relevant role from the efficiency point of view for this kind of P systems.
机译:在识别器电池状膜系统的框架中,众所周知,多项式时间中的指数数量的对象数量不足以有效地解决NP完全的问题。尽管如此,在多项式时间中产生指数数量的膜可以足以。在本文中,我们研究了识别器组织P系统的计算效率(Symport / Antiport)规则和划分规则。已经在这个方向上获得了一些结果:(a)使用通信规则并没有使用划分规则,只能有效地解决了遗传问题; (b)使用具有长度三分和划分规则的通信规则,可以有效地解决NP-Tress问题。在本文中,我们表明,通信规则的长度从这种P系统的效率的角度起着相关的作用。

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