liziwl/AI-Lab
SUSTech Course CS303, Artificial intelligence projects, fall 2017
This project helps operations managers and logisticians optimize vehicle routes for service tasks. It takes in details about a network (vertices, depot, required edges with costs and demands, number of vehicles, and their capacity) and outputs efficient routes for vehicles to service all required tasks while minimizing total cost. This is ideal for someone managing a fleet for deliveries, maintenance, or similar operations.
No commits in the last 6 months.
Use this if you need to find the most cost-effective routes for a fleet of vehicles servicing tasks on a network, considering vehicle capacity and task demands.
Not ideal if your routing problem involves dynamic changes in real-time, time windows for deliveries, or complex multi-objective optimization beyond minimizing cost.
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Python
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Last pushed
Jul 10, 2018
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