计算机科学
计算理论
算法
订单(交换)
人工智能
财务
经济
作者
David Orellana-Martín,Luis Valencia-Cabrera,Bosheng Song,Linqiang Pan,Mario J. Pérez–Jiménez
标识
DOI:10.1007/s11047-022-09924-z
摘要
Abstract In the framework of Membrane Computing , several efficient solutions to computationally hard problems have been given. To find new borderlines between families of P systems that can solve them and the ones that cannot is an important task to tackle the P versus NP problem. Adding syntactic and/or semantic ingredients can mean passing from non-efficiency to presumed efficiency. Here, we try to get narrow frontiers, setting the stage to adapt efficient solutions from a family of P systems to another one. In order to do that, a solution to the problem is given by means of a family of tissue P systems with evolutional symport/antiport rules and cell separation with the restriction that both the left-hand side and the right-hand side of the rules have at most two objects; that is, with recognizer P systems from $${\mathcal {TSEC}}(2, 2)$$ TSEC ( 2 , 2 ) . This result improves a previous one, when 3 objects could be used in the left-hand side of the evolutional communication rules
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