Solving the vehicle routing problem based on network disequilibrium level using the ride-sourced vehicle data
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Updated
May 25, 2018 - HTML
Solving the vehicle routing problem based on network disequilibrium level using the ride-sourced vehicle data
Using Qiskit Aqua as the backend, we have created an API that compares classical and quantum solutions for the most efficient VRP over a selected region of the US.
Vehicle routing problem solver implemented in python, utilizing data from OpenStreetMaps.
Using Vehicle Routing Problems to model regional library delivery route structures
HyPy is a general hyper-heuristic package for solving combinatorial optimization problems by employing and developing hyper-heuristics.
Supplementary materials for crash risk modeling review
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