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        <article-title>Optimization of an SBRP implementing a PSO algorithm to resolve instances</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Alberto Ochoa</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Fabi a´n Ortiz</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ulises Carbajal</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Luis Cerrillo</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Manuel Rivera</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jorge Rodas</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Miguel P e´rez</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Alberto Herna´ ndez</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Index Terms-VRP</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Intelligent Optimization</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Instituto Nacional de Eletricidad y Energias Limpias Ave. Del Charro 450, Partido Romero</institution>
          ,
          <addr-line>32310 Cd. Jua ́rez, Chihuahua</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Maestr ́ıa en Co ́mputo Aplicado, Universidad Auto ́noma de Ciudad Jua ́rez</institution>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2017</year>
      </pub-date>
      <abstract>
        <p>-In countries were schools providing a transportation service to commute between student's house and schools is a common concern the way resources are handled to improve them. Usually the providers of this kind of services implement a route system hand crafted. In many cases, they have used the same routes for years and do not consider new arrangements on traffic behavior or new routes available. In the present research, we propose a novel PSO Algorithm to improve and resolve the problem of School Bus Algorithm. Resumen-En los pa´ıses, las escuelas que brindan un servicio de transporte para trasladarse de la casa del estudiante a las escuelas es una preocupacio´ n comu´ n sobre la forma en que se manejan los recursos. Por lo general, los proveedores de este tipo de servicios implementan un sistema de ruta hecho a mano. En muchos casos, han utilizado las mismas rutas durante an˜ os y no consideran nuevas disposiciones sobre el comportamiento del tra´ fico o nuevas rutas disponibles. En la presente investigacio´ n, proponemos un nuevo algoritmo de PSO para mejorar y resolver el problema del algoritmo del autobu´ s escolar.</p>
      </abstract>
      <kwd-group>
        <kwd>VRP</kwd>
        <kwd>SBRP</kwd>
        <kwd>PSO</kwd>
        <kwd>Optimizacio´ n inteligente</kwd>
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