Cell-like P systems with evolutional symport/antiport rules and membrane creation

被引:52
作者
Song, Bosheng [1 ,2 ]
Li, Kenli [1 ,2 ]
Orellana-Martin, David [3 ]
Valencia-Cabrera, Luis [3 ]
Perez-Jimenez, Mario J. [3 ]
机构
[1] Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China
[2] Natl Supercomp Ctr Changsha, Changsha 410082, Hunan, Peoples R China
[3] Univ Seville, Dept Comp Sci & Artificial Intelligence, Res Grp Nat Comp, Avda Reina Mercedes S-N, Seville 41012, Spain
基金
中国国家自然科学基金;
关键词
Bio-inspired computing; Membrane computing; Cell-like P system; Evolutional symport/antiport rule; Membrane creation; TIME-FREE SOLUTION; UNIFORM SOLUTION; LINEAR SOLUTION; DIVISION; QSAT; COMMUNICATION; EFFICIENCY; PROTEINS; FISSION;
D O I
10.1016/j.ic.2020.104542
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cell-like P systems with symport/antiport rules are computing models inspired by the conservation law, in the sense that they compute by changing the places of objects with respect to the membranes, and not by changing the objects themselves. In this work, a variant of these kinds of membrane systems, called cell-like P systems with evolutional symport/antiport rules, where objects can evolve in the execution of such rules, is introduced. Besides, inspired by the autopoiesis process (ability of a system to maintain itself), membrane creation rules are considered as an efficient mechanism to provide an exponential workspace in terms of membranes. The presumed efficiency of these computing models (ability to solve computationally hard problems in polynomial time and uniform way) is explored. Specifically, an efficient solution to the SAT problem is provided by means of a family of recognizer cell-like P systems with evolutional symport/antiport rules and membrane creation which make use of communication rules involving a restricted number of objects. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页数:9
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