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    <title>The Travelling Salesman Problem (TSP) on API Documentation</title>
    <link>https://docs.icepack.ai/tsp/</link>
    <description>Recent content in The Travelling Salesman Problem (TSP) on API Documentation</description>
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      <title>TSP</title>
      <link>https://docs.icepack.ai/tsp/classic-tsp/</link>
      <pubDate>Thu, 13 Jun 2019 00:00:00 +0000</pubDate>
      <guid>https://docs.icepack.ai/tsp/classic-tsp/</guid>
      <description>Overview When we run a TSP against real-world networks, we&amp;rsquo;re actually running an ATSP - where the A stands for Asymmetric. The reason for this is that the distance from A to B is typically different to the distance from B to A once we consider turn restrictions, one way roads, etc.&#xA;Seems like an obvious thing to take account of which is why we don&amp;rsquo;t natively support the symmetric version of the problem (we find it&amp;rsquo;s more the exception than the rule in real-world problems).</description>
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      <title>TSPTW</title>
      <link>https://docs.icepack.ai/tsp/tsptw/</link>
      <pubDate>Thu, 13 Jun 2019 00:00:00 +0000</pubDate>
      <guid>https://docs.icepack.ai/tsp/tsptw/</guid>
      <description>Time windows are considered side constraints over the classic TSP.&#xA;Overview The tsptw-kcxbievqo879 schema defines a TSP with Time windows. If you&amp;rsquo;ve just worked through the TSP schema you&amp;rsquo;ll notice that almost all the elements in this particular problem are the same as the tsp-mcvfz472gty6 schema. The big difference is on the model input: the Geocode now gets two additional optional fields. The SolutionResponse also now defines a set of arrival times which corresponds to the length of the tour.</description>
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