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As with TSP, determining the best solution to VRP is NP-hard, so the number of problems that can be solved, optimally, using combinatorial optimization or mathematical programming may be limited.

Thus, commercial solvers usually use heuristics—these are like shortcuts for our brain, eliminating a lot of math or calculations for a quick and easy solution—due to the frequency and size of real world VRPs they need to solve. If a delivery business needs to plan daily routes, they need a route solution within a matter of minutes. Their business depends on those delivery route planning solutions so they can get their drivers and their goods out the door as soon as possible.

Real-life TSP and VRP solvers use route optimization algorithms that find a near-optimal solutions in a fraction of the time, giving delivery businesses the ability to plan routes quickly and efficiently.

Suzanne Ma is co-founder at Routific, a delivery management and route optimization solution that helps local food businesses scale up home delivery operations.

Try it free. Subscribe to the Routific Blog. Powering 5 million deliveries a month. No credit card required. Written by Suzanne Ma Suzanne Ma is co-founder at Routific, a delivery management and route optimization solution that helps local food businesses scale up home delivery operations.

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