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    <responseDate>2026-10-11T04:43:57Z</responseDate>
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    <identifier>10.57760/sciencedb.44681</identifier>
    <datestamp>2026-08-17T11:20:32Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-08-17</dc:date>
  <dc:title>Dataset for Collaborative Routing Optimization of a Mixed Fleet of New-Energy and Fuel-Powered Heavy-Duty Trucks with Multi-Mode Energy Replenishment</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.44681</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is constructed based on the Solomon standard VRPTW case set, targeting the collaborative optimization problem of a mixed fleet of new energy and fuel-powered heavy-duty trucks&amp;nbsp;with&amp;nbsp;multi-mode energy replenishment. The data set includes a set of comparative experimental analysis examples with the Gurobi solver, a set of comparative experimental analysis examples with the traditional adaptive large neighborhood search algorithm, a set of sensitivity analysis examples, and the corresponding energy supplement facility configuration and orthogonal test combination data, which can be used to test and verify the relevant models and algorithms in the supporting papers.&amp;nbsp;</dc:description>
  <dc:subject>road transportation; collaborative routing optimization; adaptive large neighborhood search algorithm; mixed fleet; new energy heavy-duty trucks; multi-mode energy replenishment</dc:subject>
  <dc:creator>Xu Shujing</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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