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Application of Markov Decision Processes to the Frequency Assignment Problem

Identifieur interne : 007077 ( Main/Exploration ); précédent : 007076; suivant : 007078

Application of Markov Decision Processes to the Frequency Assignment Problem

Auteurs : Jean-Yves Greff ; Lhassane Idoumghar [France] ; René Schott [France]

Source :

RBID : Hal:inria-00099975

English descriptors

Abstract

This paper presents an original algorithm, based on Markov Decision Processes, that is used to solve the frequency assignment problem in the field of radiobroadcasting. The results that are obtained by this algorithm are compared to the best known results obtained by hybrid genetic algorithm, ant colony paradigms and the best operating solution in the field of radiobroadcasting in France.

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Le document en format XML

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<ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref>
</desc>
<listRelation>
<relation active="#struct-300009" type="direct"></relation>
</listRelation>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université Nancy 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
</analytic>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="mix" xml:lang="en">
<term>artificial intelligence</term>
<term>markov decision processes</term>
<term>radiobroadcasting</term>
<term>tabu search</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">This paper presents an original algorithm, based on Markov Decision Processes, that is used to solve the frequency assignment problem in the field of radiobroadcasting. The results that are obtained by this algorithm are compared to the best known results obtained by hybrid genetic algorithm, ant colony paradigms and the best operating solution in the field of radiobroadcasting in France.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Nancy</li>
</settlement>
<orgName>
<li>Institut national polytechnique de Lorraine</li>
<li>Université Nancy 2</li>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree>
<noCountry>
<name sortKey="Greff, Jean Yves" sort="Greff, Jean Yves" uniqKey="Greff J" first="Jean-Yves" last="Greff">Jean-Yves Greff</name>
</noCountry>
<country name="France">
<region name="Grand Est">
<name sortKey="Idoumghar, Lhassane" sort="Idoumghar, Lhassane" uniqKey="Idoumghar L" first="Lhassane" last="Idoumghar">Lhassane Idoumghar</name>
</region>
<name sortKey="Schott, Rene" sort="Schott, Rene" uniqKey="Schott R" first="René" last="Schott">René Schott</name>
</country>
</tree>
</affiliations>
</record>

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