InforLorV4, Hal, Corpus, bibRecord, 000F25

Application of Markov Decision Processes to the Frequency Assignment Problem

Identifieur interne : 000F25 ( Hal/Corpus ); précédent : 000F24; suivant : 000F26

Application of Markov Decision Processes to the Frequency Assignment Problem

Auteurs : Jean-Yves Greff ; Lhassane Idoumghar ; René Schott

Source :

RBID : Hal:inria-00099975

English descriptors

mix :
- artificial intelligence, markov decision processes, radiobroadcasting, tabu search.

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.

Url:

https://hal.inria.fr/inria-00099975

Links to Exploration step

Hal:inria-00099975

Le document en format XML

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<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>
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<idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno>
<idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno>
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<notesStmt><note type="commentary">Article dans revue scientifique avec comité de lecture. internationale.</note>
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<note type="popular" n="0">No</note>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Application of Markov Decision Processes to the Frequency Assignment Problem</title>
<author role="aut"><persName><forename type="first">Jean-Yves</forename>
<surname>Greff</surname>
</persName>
<idno type="halAuthorId">131224</idno>
<orgName ref="#struct-364947"></orgName>
</author>
<author role="aut"><persName><forename type="first">Lhassane</forename>
<surname>Idoumghar</surname>
</persName>
<idno type="halAuthorId">131225</idno>
<orgName ref="#struct-364475"></orgName>
<affiliation ref="#struct-2355"></affiliation>
</author>
<author role="aut"><persName><forename type="first">René</forename>
<surname>Schott</surname>
</persName>
<email>schott@loria.fr</email>
<idno type="halAuthorId">131226</idno>
<orgName ref="#struct-364475"></orgName>
<affiliation ref="#struct-2355"></affiliation>
</author>
</analytic>
<monogr><idno type="localRef">A04-R-208 || greff04a</idno>
<idno type="halJournalId" status="INCOMING">44309</idno>
<title level="j">Journal on Applied Artificial Intelligence</title>
<imprint><biblScope unit="volume">18</biblScope>
<biblScope unit="issue">8</biblScope>
<biblScope unit="pp">761-773</biblScope>
<date type="datePub">2004</date>
</imprint>
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<profileDesc><langUsage><language ident="en">English</language>
</langUsage>
<textClass><keywords scheme="author"><term xml:lang="en">markov decision processes</term>
<term xml:lang="en">tabu search</term>
<term xml:lang="en">artificial intelligence</term>
<term xml:lang="en">radiobroadcasting</term>
</keywords>
<classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode>
<classCode scheme="halTypology" n="ART">Journal articles</classCode>
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<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.</abstract>
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Application of Markov Decision Processes to the Frequency Assignment Problem

Application of Markov Decision Processes to the Frequency Assignment Problem

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