A faster way to solve the Travelling Salesman Problem with smart graph AI
Imagine needing the cheapest path to visit many points on a map, quickly and again.
A team built a method that uses a kind of new graph AI to understand the map, and then it finds routes without slow step-by-step guessing.
The method tackles the Travelling Salesman Problem on two-dimensional maps, and it runs much more fast than recent learning tricks, while using fewer examples to learn.
Results show it is very accurate for medium sized maps, closing the gap to perfect answers almost completely for 50 points, and improving a lot for 100 points too.
It makes many route guesses at once, which speeds things up, but it still doesn't beat the best classic solvers used by experts.
That means this is a big step forward for map-based AI, yet there is room left to improve, and real world tools may still prefer traditional methods sometimes.
Read article comprehensive review in Paperium.net:
An Efficient Graph Convolutional Network Technique for the Travelling SalesmanProblem
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