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Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/741
DC FieldValueLanguage
dc.contributor.authorHuynh Hong Tramen_US
dc.date.accessioned2020-03-12T17:08:47Z-
dc.date.available2020-03-12T17:08:47Z-
dc.date.issued2017-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/741-
dc.description.abstractThere are many methods and algorithms proposed today to solve the optimal sensor placement problem which is defined as finding a sensor configuration that gives as much information as possible of the system structure. In the area of this report, the optimal sensor placement problem is formulated as an optimization problem. There are two methods are introduced here to solve the discrete optimal sensor placement, which is “Discrete Artificial Bee Colony” (DABC) and “Discrete differential evolution Markov chain” (discrete DREAM). Discrete DREAM is the proposed method of DREAM, which is based on the rounding method introduced in DABC. After that, both methods are applied to solve the travel sale man problem and the optimal sensor placement problem to compare the performance and the calculating timeen_US
dc.language.isoenen_US
dc.publisherVietnamese - German Universityen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectSensor placementen_US
dc.subjectDiscrete artificial bee colonyen_US
dc.titleComparison of DABC and dream algorithm for optimal sensor placementen_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Computational Engineering (CompEng)
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