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A parallel implementation of a multi-objective evolutionary algorithm

dc.contributor.authorKannas, Christos C.en
dc.contributor.authorNicolaou, Christos A.en
dc.contributor.authorPattichis, Constantinos S.en
dc.creatorKannas, Christos C.en
dc.creatorNicolaou, Christos A.en
dc.creatorPattichis, Constantinos S.en
dc.date.accessioned2019-11-13T10:40:34Z
dc.date.available2019-11-13T10:40:34Z
dc.date.issued2009
dc.identifier.isbn978-1-4244-5379-5
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54187
dc.description.abstractMulti-objective Evolutionary Algorithms (MOEAs) have features that can be exploited to harness the processing power offered by modern multi-core CPUs. Modern programming languages offer the ability to use threads and processes in order to achieve parallelism that is inherent in multi-core CPUs. In this paper we present our Parallel implementation of a MOEA algorithm and its application to the de novo drug design problem. The results indicate that using multiple processes that execute independent tasks of a MOEA, can reduce significantly the execution time required and maintain comparable solution quality thereby achieving improved performance. ©2009 IEEE.en
dc.sourceFinal Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009en
dc.source9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77949650230&doi=10.1109%2fITAB.2009.5394393&partnerID=40&md5=7aa21c72464141ca13d52410be7258db
dc.subjectInformation technologyen
dc.subjectMultiobjective optimizationen
dc.subjectDrug Designen
dc.subjectBlock codesen
dc.subjectParallel processingen
dc.subjectEvolutionary algorithmsen
dc.subjectProgram processorsen
dc.subjectExecution timeen
dc.subjectIndependent tasksen
dc.subjectProcessing poweren
dc.subjectMulti coreen
dc.subjectMulti objective evolutionary algorithmsen
dc.subjectMulti-objective evolutionary algorithmsen
dc.subjectMultiple processen
dc.subjectParallel evolutionary algorithmsen
dc.subjectParallel implementationsen
dc.subjectParallel multi-objective evolutionary algorithmsen
dc.subjectProgramming languageen
dc.subjectSolution qualityen
dc.titleA parallel implementation of a multi-objective evolutionary algorithmen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ITAB.2009.5394393
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 79527en
dc.description.notesCited By :2</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidNicolaou, Christos A. [0000-0002-1466-6992]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1466-6992


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