Photosynthetic algorithm approaches for bioinformatics

MakaleYalnız künyeScopus SJRQ1

Özet

Photosynthetic algorithm (PA) is the newly biosystem-derived heuristic search algorithm that utilizes the dark reaction rules governing the transfer of carbon molecules from one substance into another in the Calvin-Benson cycle and photorespiration. There are only two works using this new algorithm in the literature, one for finite element analysis and one for N-queen problem. This paper presents PA based novel solution techniques in bioinformatics problems such as aligning multiple sequences and discovering association rules within bio-medical data. The simulation results demonstrate the applicability and potential of this algorithm. (C) 2011 Elsevier Ltd. All rights reserved.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/munzur/4696Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1016/j.eswa.2011.02.102Yayıncı resmi DOI adresi
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6
OpenAlex
7
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorAlatas, Bilal
dc.date.accessioned2026-10-28T15:03:37.981747312Z
dc.date.available2026-10-28T15:03:37.981747312Z
dc.date.issued2011-08
dc.description.abstractPhotosynthetic algorithm (PA) is the newly biosystem-derived heuristic search algorithm that utilizes the dark reaction rules governing the transfer of carbon molecules from one substance into another in the Calvin-Benson cycle and photorespiration. There are only two works using this new algorithm in the literature, one for finite element analysis and one for N-queen problem. This paper presents PA based novel solution techniques in bioinformatics problems such as aligning multiple sequences and discovering association rules within bio-medical data. The simulation results demonstrate the applicability and potential of this algorithm. (C) 2011 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipBrazilian agency FAPESP [2008/10859-0]
dc.identifier.doi10.1016/j.eswa.2011.02.102
dc.identifier.eissn1873-6793
dc.identifier.endpage10553
dc.identifier.issn0957-4174
dc.identifier.issue8
dc.identifier.startpage10541
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/4696
dc.identifier.volume38
dc.identifier.wosWOS:000290237500169
dc.language.isoen
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectHeuristics
dc.subjectPhotosynthetic algorithm
dc.subjectBioinformatics
dc.subjectMultiple sequence alignment
dc.subjectAssociation rules mining
dc.subject.classificationComputer Science, Artificial Intelligence
dc.subject.classificationEngineering, Electrical & Electronic
dc.subject.classificationOperations Research & Management Science
dc.subject.classificationComputer Science
dc.subject.classificationEngineering
dc.subject.otherFEATURE-SELECTION
dc.subject.otherNEURAL-NETWORK
dc.subject.otherCLASSIFICATION
dc.subject.otherSIGNALS
dc.titlePhotosynthetic algorithm approaches for bioinformatics
dc.typeArticle
rdl.citation.openalex7
rdl.citation.wos6
rdl.oa.statusclosed
rdl.scopus.quartileQ1
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)