brucefeng10 / JD-GOC-VRP

VRPTW variation of JD Global Optimization Challange

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JD-GOC-VRP

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VRPTW variation of JD Global Optimization Challange (2018/9/15, Final rank: 15/1921)

Algorithm summary:

  1. Generate an initial solution based on Time-oriented Nearest-Neighborhood Heuristic proposed by Solomon(1987).
  2. Improve the initial solution using Large Neighbourhood Search algorithm and Simulated Annealing algorithm. We used 7 operators to search neighborhood solution. The following two papers are listed for reference:
    --A Two-Stage Hybrid Local Search for the Vehicle Routing Problem with Time Windows
    --An advanced hybrid meta-heuristic algorithm for the vehicle routing problem with backhauls and time windows
  3. Other implementation skills.

Code is just for reference.

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VRPTW variation of JD Global Optimization Challange


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