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        <identifier>oai:drops-oai.dagstuhl.de:9716</identifier>
        <datestamp>2024-03-06T10:30:27Z</datestamp>
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          <dc:title>A Neighborhood Search and Set Cover Hybrid Heuristic for the Two-Echelon Vehicle Routing Problem</dc:title>
          <dc:creator>Amarouche, Youcef</dc:creator>
          <dc:creator>Guibadj, Rym N.</dc:creator>
          <dc:creator>Moukrim, Aziz</dc:creator>
          <dc:subject>Two-Echelon Vehicle Routing Problem</dc:subject>
          <dc:subject>City Logistics</dc:subject>
          <dc:subject>hybrid method</dc:subject>
          <dc:subject>integer programming</dc:subject>
          <dc:description>The Two-Echelon Vehicle Routing Problem (2E-VRP) is a variant of the classical vehicle routing problem arising in the context of city logistics. In the 2E-VRP, freight from a main depot is delivered to final customers using intermediate facilities, called satellites. In this paper, we propose a new hybrid heuristic method for solving the 2E-VRP that relies on two components. The first component effectively explores the search space in order to discover a set of interesting routes. The second recombines the discovered routes into high-quality solutions. Experimentations on benchmark instances show the performance of our approach: our algorithm achieves high-quality solutions in short computational times and improves the current best known solutions for several large scale instances.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Youcef Amarouche and Rym N. Guibadj and Aziz Moukrim</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 65, 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.ATMOS.2018.11</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-97161</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2018.11</dc:identifier>
          <dc:language>eng</dc:language>
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