Aug 17, 2021 · Our ML-Constructive heuristic is trained on small instances. Then, it is able to produce solutions, without losing quality, to large problems as well.
The objective of the Traveling Salesman Problem is to find the shortest possible route that visits each vertex in V exactly once and creates a loop returning to ...
Jul 19, 2024 · The ML-Constructive heuristic is a recently presented method and the first hybrid method capable of scaling up to real scale traveling salesman ...
This work rethink the usage of ML by purposely employing this system just on a task that avoids well-known ML weaknesses, such as training in presence of ...
Feb 6, 2024 · ML-Constructive (ML-C) is the first constructive heuristics that scales efficiently using information extracted from historical TSP optimal tours.
Sep 14, 2021 · English Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to ...
Gambardella, R. Montemanni. 2021. A New Constructive heuristic driven by Machine Learning for the Traveling Salesman Problem. Algorithms, 14(9): 267.
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The ML-Constructive heuristic is a recently presented method and the first hybrid method capable of scaling up to real scale traveling salesman problems. It ...
Aug 2, 2021 · The ML-Constructive heuristic is a recently presented method and the first hybrid method capable of scaling up to real scale traveling ...
This work presents a successful combination of both probability estimation and machine learning, all the while using standard TSP solvers.