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Parallel distributed genetic algorithm development based on microcontrollers framework

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dc.citedby9
dc.contributor.authorKrishnan P.S.en_US
dc.contributor.authorKiong T.S.en_US
dc.contributor.authorKoh J.en_US
dc.contributor.authorid36053261400en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid22951210700en_US
dc.date.accessioned2023-12-29T07:56:23Z
dc.date.available2023-12-29T07:56:23Z
dc.date.issued2008
dc.description.abstractThis work is focused on the implementation of evolutionary based computer algorithms, genetic algorithms (GAs), on microcontrollers. Genetic algorithms are powerful optimizing techniques that are used successfully to solve problems in many different disciplines. One such application would be in WCDMA adaptive beam forming technique. Adaptive antenna has dynamic beam to cater for users' needs and provides better capacity for mobile communication but requires more intelligent and advance beam forming algorithm such as genetic algorithm which requires heavy computation. Microcontrollers are low resource platforms that are normally not associated with GAs, which are typically resource intensive. The focus of this project is toexpand the role of existing small scale PIC microcontrollers into a multiple-microcontrollers system to resolve limited resource issues in meeting complex project needs. This implementation will be based on parallel distributed model, which will reduce the complexity of each microcontroller to solve large complex problem and increase problem solving speed. � 2008 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4784411
dc.identifier.doi10.1109/ICDFMA.2008.4784411
dc.identifier.epage40
dc.identifier.scopus2-s2.0-63749083363
dc.identifier.spage35
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-63749083363&doi=10.1109%2fICDFMA.2008.4784411&partnerID=40&md5=0305791aba3c7c1a04557fdde1beda26
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30949
dc.pagecount5
dc.sourceScopus
dc.sourcetitle2008 1st International Conference on Distributed Frameworks and Application, DFmA 2008
dc.subjectAdaptive beam forming
dc.subjectMicrocontroller
dc.subjectParallel distributed genetic algorithm
dc.subjectAdaptive algorithms
dc.subjectApplications
dc.subjectDigital to analog conversion
dc.subjectGenetic algorithms
dc.subjectInterference suppression
dc.subjectJava programming language
dc.subjectMobile antennas
dc.subjectParallel algorithms
dc.subjectAdaptive antennas
dc.subjectAdaptive beam forming
dc.subjectBeam forming algorithms
dc.subjectComplex projects
dc.subjectComputer algorithms
dc.subjectDistributed models
dc.subjectLarge complex problems
dc.subjectMicrocontroller
dc.subjectMobile communications
dc.subjectParallel distributed genetic algorithm
dc.subjectPIC microcontrollers
dc.subjectSmall scale
dc.subjectMicrocontrollers
dc.titleParallel distributed genetic algorithm development based on microcontrollers frameworken_US
dc.typeConference paperen_US
dspace.entity.typePublication
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