A Formal Verification of a SAT Solution by P Systems with Evolution Communication and Separation Rules

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
David Orellana-Martín, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez
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引用次数: 0

Abstract

In the framework of membrane computing, several interesting results concerning frontiers of efficiency between the complexity classes P and NP have been found by using different ingredients. One of the main characteristics of cell-like membrane systems is their rooted tree-like structure, where a natural parent-children membrane relationship exists, and objects can travel through the membranes. Separation rules are used as a method to obtain an exponential workspace in terms of membranes in polynomial time. Inspired by cell meiosis, objects from the original membrane are distributed between the two new membranes. In this work, P systems with evolutional symport/antiport rules and separation rules are used to give a solution to SAT, a well known NP-complete problem. One of the advantages of this solution is the use of the environment as a passive agent.
具有演化通信和分离规则的P系统对SAT解的形式化验证
在膜计算的框架中,通过使用不同的成分,发现了一些关于复杂度类P和NP之间效率边界的有趣结果。类细胞膜系统的主要特征之一是其根状树形结构,存在天然的亲子膜关系,物体可以穿过膜。分离规则被用作在多项式时间内获得膜的指数工作空间的方法。受细胞减数分裂的启发,原膜上的物体分布在两个新膜之间。在这项工作中,使用具有进化同向/反向规则和分离规则的P系统来给出一个众所周知的np完全问题SAT的解。这种解决方案的优点之一是使用环境作为被动代理。
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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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