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• W3134739736 abstract "This paper proposes an algorithmic method to heuristically solve the famous Travelling Salesman Problem (TSP) when the salesman's path evolves in continuous state space and discrete time but with otherwise arbitrary (nonlinear) dynamics. The presented method is based on the framework of Symbolic Control. In this way, our method returns a provably correct state-feedback controller for the underlying coverage specification, which is the TSP leaving out the requirement for optimality on the route. In addition, we utilize the Lin-Kernighan-Helsgaun TSP solver to heuristically optimize the cost for the overall taken route. Two examples, an urban parcel delivery task and a UAV reconnaissance mission, greatly illustrate the powerfulness of the proposed heuristic." @default.
• W3134739736 created "2021-03-15" @default.
• W3134739736 creator A5025708846 @default.
• W3134739736 creator A5068993444 @default.
• W3134739736 date "2021-02-27" @default.
• W3134739736 modified "2023-09-27" @default.
• W3134739736 title "On the Solution of the Travelling Salesman Problem for Nonlinear Salesman Dynamics using Symbolic Optimal Control" @default.
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• W3134739736 hasPublicationYear "2021" @default.
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