A modified LKH that re-ranks candidate edges with a dynamically updated backbone frequency and a bandit-chosen mix of metrics finds better tours on many large TSPLIB instances than stock LKH.
Deepreinforcementlearningforsolvingthehet- erogeneous capacitated vehicle routing problem.IEEE Transactions on Cybernetics, 52(12):13572–13585, 2022
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Multi-armed Bandit and Backbone boost Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problems
A modified LKH that re-ranks candidate edges with a dynamically updated backbone frequency and a bandit-chosen mix of metrics finds better tours on many large TSPLIB instances than stock LKH.