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- W3154755455 abstract "We construct empirically based regression models for estimating the tour length in the Close Enough Traveling Salesman Problem (CETSP). In the CETSP, a customer is considered visited when the salesman visits any point in the customer’s service region. We build our models using as many as 14 independent variables on a set of 780 benchmark instances of the CETSP and compare the estimated tour lengths to the results from a Steiner zone heuristic. We validate our results on a new set of 234 instances that are similar to the 780 benchmark instances. We also generate results for a new set of 72 larger instances. Overall, our models fit the data well and do a very good job of estimating the tour length. In addition, we show that our modeling approach can be used to accurately estimate the optimal tour lengths for the CETSP." @default.
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- W3154755455 date "2021-04-12" @default.
- W3154755455 modified "2023-10-05" @default.
- W3154755455 title "Estimating the Tour Length for the Close Enough Traveling Salesman Problem" @default.
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- W3154755455 doi "https://doi.org/10.3390/a14040123" @default.
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