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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MDPI AG
2019-12-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/10/1/275 |
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author | Ford Lumban Gaol Tokuro Matsuo |
author_facet | Ford Lumban Gaol Tokuro Matsuo |
author_sort | Ford Lumban Gaol |
collection | DOAJ |
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. |
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institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-12-12T21:12:42Z |
publishDate | 2019-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-eb43053be8684847bae21e02f696a6e42022-12-22T00:11:51ZengMDPI 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 |
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 |
title | 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_short | 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 |
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 |