Learning automata and its application to priority assignment in a queuing system with unknown characteristics /

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dc.contributor.authorMeybodi, Mohammad Reza,en_US
dc.date.accessioned2013-08-16T12:28:54Z
dc.date.available2013-08-16T12:28:54Z
dc.date.issued1983en_US
dc.description.abstractConditions for (epsilon)-optimality of a general class of absorbing barrier and strongly absolutely expedient learning algorithms are derived. As a consequence, a new class of learning algorithms having identical behavior under the occurrence of success and failure are obtained. An application of learning automata to the priority assignment in a queuing system with unknown characteristics is given.en_US
dc.format.extentiv, 119 leaves :en_US
dc.identifier.urihttp://hdl.handle.net/11244/5130
dc.noteSource: Dissertation Abstracts International, Volume: 44-02, Section: B, page: 0546.en_US
dc.subjectComputer Science.en_US
dc.thesis.degreePh.D.en_US
dc.thesis.degreeDisciplineSchool of Electrical and Computer Engineeringen_US
dc.titleLearning automata and its application to priority assignment in a queuing system with unknown characteristics /en_US
dc.typeThesisen_US
ou.groupCollege of Engineering::School of Electrical and Computer Engineering
ou.identifier(UMI)AAI8314780en_US

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