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dc.contributor.authorMuhammad Fuad, Muhammad Marwan
dc.date.accessioned2015-02-25T10:20:19Z
dc.date.available2015-12-06T06:50:05Z
dc.date.issued2014
dc.description.abstractIn a previous work we presented the Σ-gram distance that computes the similarity between two sequences. This distance includes parameters that we calculated by means of an optimization process using artificial bee colony. In another work we showed how population-based bio-inspired algorithms can be sped up by applying a method that utilizes a pre-initialization stage to yield an optimal initial population. In this paper we use this pre-initialization method on the artificial bee colony algorithm to calculate the parameters of the Σ-gram distance. We show through experiments how this pre-initialization method can substantially speed up the optimization process.en_US
dc.identifier.citationLecture Notes in Computer Science 8645(2014) s. 147-154en_US
dc.identifier.cristinIDFRIDAID 1181204
dc.identifier.doi10.1007/978-3-319-10085-2_12
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/10037/7213
dc.identifier.urnURN:NBN:no-uit_munin_6825
dc.language.isoengen_US
dc.publisherSpringer Verlagen_US
dc.rights.accessRightsopenAccess
dc.subject422:Algoritmer og beregnbarhetsteorien_US
dc.subject422:Algorithms and computability theoryen_US
dc.titleA Synergy of Artificial Bee Colony and Genetic Algorithms to Determine the Parameters of the Σ-Gram Distanceen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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