Application of Markov Decision Processes to the Frequency Assignment Problem
Identifieur interne : 000800 ( Crin/Checkpoint ); précédent : 000799; suivant : 000801Application of Markov Decision Processes to the Frequency Assignment Problem
Auteurs : Jean-Yves Greff ; Lhassane Idoumghar ; René SchottSource :
- Journal on Applied Artificial Intelligence ; 2004.
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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<author><name sortKey="Idoumghar, Lhassane" sort="Idoumghar, Lhassane" uniqKey="Idoumghar L" first="Lhassane" last="Idoumghar">Lhassane Idoumghar</name>
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<author><name sortKey="Schott, Rene" sort="Schott, Rene" uniqKey="Schott R" first="René" last="Schott">René Schott</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>artificial intelligence</term>
<term>markov decision processes</term>
<term>radiobroadcasting</term>
<term>tabu search</term>
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<front><div type="abstract" xml:lang="en" wicri:score="1475">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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<BibTex type="article"><ref>greff04a</ref>
<crinnumber>A04-R-208</crinnumber>
<category>1</category>
<author><e>Greff, Jean-Yves</e>
<e>Idoumghar, Lhassane</e>
<e>Schott, René</e>
</author>
<title>Application of Markov Decision Processes to the Frequency Assignment Problem</title>
<journal>Journal on Applied Artificial Intelligence</journal>
<year>2004</year>
<volume>18</volume>
<number>8</number>
<pages>761-773</pages>
<month>Sep</month>
<keywords><e>markov decision processes</e>
<e>tabu search</e>
<e>artificial intelligence</e>
<e>radiobroadcasting</e>
</keywords>
<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.</abstract>
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