Solving the SAT Problem by Cell-Like P Systems with Channel States and Symport Rules
Cell-like P systems with channel states, which are a variant of tissue P systems in membrane computing, can be viewed as highly parallel computing devices based on the nested structure of cells, where communication rules are classified as symport rules and antiport rules. In this work, we remove the...
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          | Published in | Discrete dynamics in nature and society Vol. 2023; pp. 1 - 9 | 
|---|---|
| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        New York
          Hindawi
    
        10.06.2023
     John Wiley & Sons, Inc Wiley  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1026-0226 1607-887X 1607-887X  | 
| DOI | 10.1155/2023/4993855 | 
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| Abstract | Cell-like P systems with channel states, which are a variant of tissue P systems in membrane computing, can be viewed as highly parallel computing devices based on the nested structure of cells, where communication rules are classified as symport rules and antiport rules. In this work, we remove the antiport rules and construct a novel variant, namely, cell-like P systems with channel states and symport rules, where one rule is only allowed to be nondeterministically applied once per channel. To explore the computational efficiency of the variant, we solve the SAT problem and obtain a uniform solution in polynomial time with the maximal length of rules 1. The results of our work are reflected in the following two aspects: first, communication rules are restricted to only one type, namely, symport rules; second, the maximal length of rules is decreased from 2 to 1. Our work indicates that the constructed variant with fewer rule types can still solve the SAT problem and obtain better results in terms of computational complexity. Hence, in terms of computational efficiency, our work is a notable improvement. | 
    
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| AbstractList | Cell-like P systems with channel states, which are a variant of tissue P systems in membrane computing, can be viewed as highly parallel computing devices based on the nested structure of cells, where communication rules are classified as symport rules and antiport rules. In this work, we remove the antiport rules and construct a novel variant, namely, cell-like P systems with channel states and symport rules, where one rule is only allowed to be nondeterministically applied once per channel. To explore the computational efficiency of the variant, we solve the SAT problem and obtain a uniform solution in polynomial time with the maximal length of rules 1. The results of our work are reflected in the following two aspects: first, communication rules are restricted to only one type, namely, symport rules; second, the maximal length of rules is decreased from 2 to 1. Our work indicates that the constructed variant with fewer rule types can still solve the SAT problem and obtain better results in terms of computational complexity. Hence, in terms of computational efficiency, our work is a notable improvement. Cell-like P systems with channel states, which are a variant of tissue P systems in membrane computing, can be viewed as highly parallel computing devices based on the nested structure of cells, where communication rules are classified as symport rules and antiport rules. In this work, we remove the antiport rules and construct a novel variant, namely, cell-like P systems with channel states and symport rules, where one rule is only allowed to be nondeterministically applied once per channel. To explore the computational efficiency of the variant, we solve the S A T problem and obtain a uniform solution in polynomial time with the maximal length of rules 1. The results of our work are reflected in the following two aspects: first, communication rules are restricted to only one type, namely, symport rules; second, the maximal length of rules is decreased from 2 to 1. Our work indicates that the constructed variant with fewer rule types can still solve the S A T problem and obtain better results in terms of computational complexity. Hence, in terms of computational efficiency, our work is a notable improvement.  | 
    
| Audience | Academic | 
    
| Author | Wan, Xiaoming Liu, Chuchuan Luo, Yueguo  | 
    
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| Copyright | Copyright © 2023 Xiaoming Wan et al. COPYRIGHT 2023 John Wiley & Sons, Inc. Copyright © 2023 Xiaoming Wan et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0  | 
    
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| SubjectTerms | Algorithms Computational efficiency Computing time Efficiency Laws, regulations and rules Membranes Polynomials Telecommunication  | 
    
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| Title | Solving the SAT Problem by Cell-Like P Systems with Channel States and Symport Rules | 
    
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