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Optimization methodology of dynamic data structures based on genetic algorithms for multimedia embedded systems

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dc.contributor.author Baloukas, C en
dc.contributor.author Risco-martín, J en
dc.contributor.author Atienza, D en
dc.contributor.author Poucet, C en
dc.contributor.author Papadopoulos, L en
dc.contributor.author Mamagkakis, S en
dc.contributor.author Soudris, D en
dc.contributor.author Hidalgo, J en
dc.contributor.author Catthoor, F en
dc.contributor.author Lanchares, J en
dc.date.accessioned 2014-03-01T01:58:01Z
dc.date.available 2014-03-01T01:58:01Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/28607
dc.subject Data Structure en
dc.subject Dynamic Data Structure en
dc.subject Embedded System en
dc.subject Genetic Algorithm en
dc.subject Multi Objective Optimization en
dc.subject Multimedia Application en
dc.subject pareto front en
dc.subject Resource Utilization en
dc.subject Search Space en
dc.title Optimization methodology of dynamic data structures based on genetic algorithms for multimedia embedded systems en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.jss.2008.08.032 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.jss.2008.08.032 en
heal.publicationDate 2009 en
heal.abstract Modern multimedia application exhibit high resource utilization. In order to efficiently run this kind of applications in embedded systems, the dynamic memory subsystem needs to be optimized. A key role in this optimization is played by the dynamic data structures that reside in every real-life application. This paper presents a novel and automated way to optimize dynamic data structures. The en
heal.journalName Journal of Systems and Software en
dc.identifier.doi 10.1016/j.jss.2008.08.032 en


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