Approximation de courbes par Algorithme Génétique Multi-Objectif
Identifieur interne : 000685 ( Hal/Checkpoint ); précédent : 000684; suivant : 000686Approximation de courbes par Algorithme Génétique Multi-Objectif
Auteurs : Hervé Locteau [France] ; Romain Raveaux [France] ; Sébastien Adam [France] ; Yves Lecourtier [France] ; Pierre Héroux [France] ; Eric Trupin [France]Source :
Abstract
Cet article présente une méthode d'approximation de courbes planaires basée sur un algorithme génétique multi-objectif. L'algorithme d'optimisation/exploration localise les points caractéristiques d'une courbe en minimisant simultanément le nombre de points caractéristiques et l'erreur d'approximation. Par le biais de ce type d'approche, l'algorithme propose à son terme un ensemble de solutions parmi lesquelles l'utilisateur peut choisir le compromis selon ses intentions. L'approche proposée est évaluée à partir de courbes issues de la littérature et comparée avec de nombreuses approches.
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Hal:hal-00113904Le document en format XML
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76821 Mont-Saint-Aignan</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rouen.fr/</ref></desc></org></tutelle><tutelle active="#struct-301288" type="direct"><org type="department" xml:id="struct-301288" status="VALID"><orgName>Institut National des Sciences Appliquées - Rouen</orgName><orgName type="acronym">INSA Rouen</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-301232" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Le Havre</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université du Havre</orgName><placeName><settlement type="city">Rouen</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université de Rouen</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Cet article présente une méthode d'approximation de courbes planaires basée sur un algorithme génétique multi-objectif. L'algorithme d'optimisation/exploration localise les points caractéristiques d'une courbe en minimisant simultanément le nombre de points caractéristiques et l'erreur d'approximation. Par le biais de ce type d'approche, l'algorithme propose à son terme un ensemble de solutions parmi lesquelles l'utilisateur peut choisir le compromis selon ses intentions. L'approche proposée est évaluée à partir de courbes issues de la littérature et comparée avec de nombreuses approches.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Approximation de courbes par Algorithme Génétique Multi-Objectif</title><author role="aut"><persName><forename type="first">Hervé</forename><surname>Locteau</surname></persName><email>Herve.Locteau@univ-rouen.fr</email><idno type="halauthor">145812</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Romain</forename><surname>Raveaux</surname></persName><email></email><idno type="halauthor">145813</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Sébastien</forename><surname>Adam</surname></persName><email>Sbastien.Adam@univ-rouen.fr</email><idno type="halauthor">145405</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Yves</forename><surname>Lecourtier</surname></persName><email>Yves.Lecourtier@univ-rouen..fr</email><idno type="halauthor">145814</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Pierre</forename><surname>Héroux</surname></persName><email>Pierre.Heroux@univ-rouen.fr</email><idno type="idhal">pierreheroux</idno><idno type="halauthor">145403</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Eric</forename><surname>Trupin</surname></persName><email>Eric.Trupin@univ-rouen.fr</email><idno type="halauthor">145406</idno><affiliation ref="#struct-23832"></affiliation></author><editor role="depositor"><persName><forename>Pierre</forename><surname>Héroux</surname></persName><email>Pierre.Heroux@univ-rouen.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-11-14 21:45:55</date><date type="whenModified">2016-03-22 01:25:54</date><date type="whenReleased">2006-11-14 21:47:10</date><date type="whenProduced">2006-09-18</date><date type="whenEndEmbargoed">2006-11-14</date><ref type="file" target="https://hal.archives-ouvertes.fr/hal-00113904/document"><date notBefore="2006-11-14"></date></ref><ref type="file" n="1" target="https://hal.archives-ouvertes.fr/hal-00113904/file/approx.pdf"><date notBefore="2006-11-14"></date></ref></edition><respStmt><resp>contributor</resp><name key="114396"><persName><forename>Pierre</forename><surname>Héroux</surname></persName><email>Pierre.Heroux@univ-rouen.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-00113904</idno><idno type="halUri">https://hal.archives-ouvertes.fr/hal-00113904</idno><idno type="halBibtex">locteau:hal-00113904</idno><idno type="halRefHtml">Laurence Likforman-Sulem. Colloque International Francophone sur l'Ecrit et le Document, Sep 2006, France. SDN06, pp.37-42, 2006</idno><idno type="halRef">Laurence Likforman-Sulem. Colloque International Francophone sur l'Ecrit et le Document, Sep 2006, France. SDN06, pp.37-42, 2006</idno></publicationStmt><seriesStmt><idno type="stamp" n="CIFED06">Colloque International Francophone sur l'Ecrit et le Document (CIFED'06)</idno><idno type="stamp" n="UNIV-LEHAVRE">Université du Havre</idno><idno type="stamp" n="UNIV-ROUEN">Université de Rouen</idno><idno type="stamp" n="LITIS">Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes</idno><idno type="stamp" n="TDS-MACS">Réseau de recherche en Théorie des Systèmes Distribués, Modélisation, Analyse et Contrôle des Systèmes</idno><idno type="stamp" n="COMUE-NORMANDIE">Normandie Université</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="fr">Approximation de courbes par Algorithme Génétique Multi-Objectif</title><author role="aut"><persName><forename type="first">Hervé</forename><surname>Locteau</surname></persName><email>Herve.Locteau@univ-rouen.fr</email><idno type="halAuthorId">145812</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Romain</forename><surname>Raveaux</surname></persName><idno type="halAuthorId">145813</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Sébastien</forename><surname>Adam</surname></persName><email>Sbastien.Adam@univ-rouen.fr</email><idno type="halAuthorId">145405</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Yves</forename><surname>Lecourtier</surname></persName><email>Yves.Lecourtier@univ-rouen..fr</email><idno type="halAuthorId">145814</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Pierre</forename><surname>Héroux</surname></persName><email>Pierre.Heroux@univ-rouen.fr</email><idno type="idHal">pierreheroux</idno><idno type="halAuthorId">145403</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Eric</forename><surname>Trupin</surname></persName><email>Eric.Trupin@univ-rouen.fr</email><idno type="halAuthorId">145406</idno><affiliation ref="#struct-23832"></affiliation></author></analytic><monogr><title level="m">Actes du 9ème Colloque International Francophone sur l'Ecrit et le Document</title><meeting><title>Colloque International Francophone sur l'Ecrit et le Document</title><date type="start">2006-09-18</date><country key="FR">France</country></meeting><editor>Laurence Likforman-Sulem</editor><imprint><publisher>SDN06</publisher><biblScope unit="pp">37-42</biblScope><date type="datePub">2006-09-18</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><classCode scheme="halDomain" n="spi.auto">Engineering Sciences [physics]/Automatic</classCode><classCode scheme="halDomain" n="spi.signal">Engineering Sciences [physics]/Signal and Image processing</classCode><classCode scheme="halDomain" n="info.info-ts">Computer Science [cs]/Signal and Image Processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="fr">Cet article présente une méthode d'approximation de courbes planaires basée sur un algorithme génétique multi-objectif. L'algorithme d'optimisation/exploration localise les points caractéristiques d'une courbe en minimisant simultanément le nombre de points caractéristiques et l'erreur d'approximation. Par le biais de ce type d'approche, l'algorithme propose à son terme un ensemble de solutions parmi lesquelles l'utilisateur peut choisir le compromis selon ses intentions. L'approche proposée est évaluée à partir de courbes issues de la littérature et comparée avec de nombreuses approches.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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