Solving the Graph Problem on the Maximal Clique Problem on the P-Systems with Mitochondria Enzymes Layer

P systems with mitochondria enzymes layer computing is a recent version of P systems; it integrates a new feature inspired from the enzymes gate of a natural cell to the cell-like P systems. The model of a computational layer is well known as a problem of Non-Deterministic (NP-complete) in polynomia...

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Main Authors: Ford Lumban Gaol, Tokuro Matsuo
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/1/275
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spelling doaj-eb43053be8684847bae21e02f696a6e42020-11-25T02:03:25ZengMDPI AGApplied Sciences2076-34172019-12-0110127510.3390/app10010275app10010275Solving the Graph Problem on the Maximal Clique Problem on the P-Systems with Mitochondria Enzymes LayerFord Lumban Gaol0Tokuro Matsuo1Computer Science Department, BINUS Graduate Program-Doctor of Computer Science, Bina Nusantara University, Jakarta 11480, IndonesiaGraduate School of Industrial Technology, Advanced Institute of Industrial Technology, Tokyo 140-0011, JapanP systems with mitochondria enzymes layer computing is a recent version of P systems; it integrates a new feature inspired from the enzymes gate of a natural cell to the cell-like P systems. The model of a computational layer is well known as a problem of Non-Deterministic (NP-complete) in polynomial time. In this paper, we propose a P systems with enzymes to solve one of the most NP-hard problems, which is the determination of the maximal clique in a given undirected graph. In this context, the evolution strategy proposed is based on using objects under the control of enzymes placed on layers.https://www.mdpi.com/2076-3417/10/1/275maximal cliquecomputational layerp systemsenzymes layersenzymes control
collection DOAJ
language English
format Article
sources DOAJ
author Ford Lumban Gaol
Tokuro Matsuo
spellingShingle Ford Lumban Gaol
Tokuro Matsuo
Solving the Graph Problem on the Maximal Clique Problem on the P-Systems with Mitochondria Enzymes Layer
Applied Sciences
maximal clique
computational layer
p systems
enzymes layers
enzymes control
author_facet Ford Lumban Gaol
Tokuro Matsuo
author_sort Ford Lumban Gaol
title Solving the Graph Problem on the Maximal Clique Problem on the P-Systems with Mitochondria Enzymes Layer
title_short Solving the Graph Problem on the Maximal Clique Problem on the P-Systems with Mitochondria Enzymes Layer
title_full Solving the Graph Problem on the Maximal Clique Problem on the P-Systems with Mitochondria Enzymes Layer
title_fullStr Solving the Graph Problem on the Maximal Clique Problem on the P-Systems with Mitochondria Enzymes Layer
title_full_unstemmed Solving the Graph Problem on the Maximal Clique Problem on the P-Systems with Mitochondria Enzymes Layer
title_sort solving the graph problem on the maximal clique problem on the p-systems with mitochondria enzymes layer
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2019-12-01
description P systems with mitochondria enzymes layer computing is a recent version of P systems; it integrates a new feature inspired from the enzymes gate of a natural cell to the cell-like P systems. The model of a computational layer is well known as a problem of Non-Deterministic (NP-complete) in polynomial time. In this paper, we propose a P systems with enzymes to solve one of the most NP-hard problems, which is the determination of the maximal clique in a given undirected graph. In this context, the evolution strategy proposed is based on using objects under the control of enzymes placed on layers.
topic maximal clique
computational layer
p systems
enzymes layers
enzymes control
url https://www.mdpi.com/2076-3417/10/1/275
work_keys_str_mv AT fordlumbangaol solvingthegraphproblemonthemaximalcliqueproblemonthepsystemswithmitochondriaenzymeslayer
AT tokuromatsuo solvingthegraphproblemonthemaximalcliqueproblemonthepsystemswithmitochondriaenzymeslayer
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