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dc.date.accessioned 2012-11-06T15:04:44Z
dc.date.available 2012-11-06T15:04:44Z
dc.date.issued 2012-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23760
dc.description.abstract In [1] a form of representation of logic circuits by chains of integer numbers is presented. That type of representation is easy to simulate and to export to FPGA hardware in such a way that, by adding a genetic algorithm (GA), it can be used in an evolutionary process. Because regular GAs utilize binary number coding, one was designed, with all its operators and processes, that uses integer number coding. This evolvable hardware (EH) process was tested with more than 200 hours of runs to determine the effectiveness of the integer coded GA. Results show that, given the proper conditions, the GA is effective in finding solutions that fulfill the required needs of the target system and that this particular EH platform is suitable for applications where fault tolerance capability is required, such as space systems. en
dc.language en es
dc.subject Genetic Algorithms en
dc.subject sistema operativo es
dc.subject Algorithms es
dc.subject Evolvable Hardware en
dc.subject Architectures es
dc.subject FPGA en
dc.subject Fault Tolerance en
dc.title Design and implementation of a genetic algorithm with integer number coding for the evolution of FPGAs in space applications en
dc.type Objeto de conferencia es
sedici.creator.person Quiroga, Juan es
sedici.creator.person Paz, Francisco es
sedici.creator.person Capossio, Juan Pablo es
sedici.description.note Eje: Workshop Arquitectura, redes y sistemas operativos (WARSO) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2012-10
sedici.relation.event XVIII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)