COMPARATIVE EVALUATION OF GENETIC ALGORITHM AND MEMETIC ALGORITHM FOR OPTIMAL TOPOLOGY DESIGN OF COMPUTER NETWORKS

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dc.contributor.authorOladele, R. O.
dc.contributor.authorOladele, O. T.
dc.date.accessioned2019-04-15T08:00:59Z
dc.date.available2019-04-15T08:00:59Z
dc.date.issued2014
dc.description.abstractNetwork topology design problem can be formulated as a combinatorial optimization problem. In this paper, a comparative evaluation of genetic algorithm and memetic algorithm is presented with a view to investigating their performance for network design problem. Results from various computation experiments reveal that MA is able to produce better results in term of quality but at a higher computation time. In addition, for a problem instance of small size such as 10-node network design problem GA can produce better solution but at a higher computational time.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1755
dc.language.isoenen_US
dc.publisherNigeria Computer Societyen_US
dc.subjectMemetic Algorithmen_US
dc.subjectLocal searchen_US
dc.subjectGenetic Algorithmen_US
dc.subjectOptimizationen_US
dc.subjectNetworken_US
dc.titleCOMPARATIVE EVALUATION OF GENETIC ALGORITHM AND MEMETIC ALGORITHM FOR OPTIMAL TOPOLOGY DESIGN OF COMPUTER NETWORKSen_US
dc.typeArticleen_US

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