Hm. This could be interesting but the demo only shows a simple TSP.. is it capable to solve large-scale vehicle routing problems? Say fleets of 100+ vehicles?
OP here: yes it is, it supports not only large-scale VRP, but also CVRPTW-type problems, which include constraints for time-windows and capacity.. Having said that, we are talking about NP-hard problems, so computational efforts increase exponentially, and it'd be a good idea to split up 100+ vehicles into smaller chunks.
Unless your deliveries are done overnight, it's no problem to run the algorithm through the night.. It is capable to find a quick solution (~80% optimality) in very little time, but is able to keep searching for as long as you want to improve on the solution.
Unless your deliveries are done overnight, it's no problem to run the algorithm through the night.. It is capable to find a quick solution (~80% optimality) in very little time, but is able to keep searching for as long as you want to improve on the solution.