Vehicle Routing Problems are generalizations of the well known Traveling Salesman Problem; we focus on the on-line version of these problems, where requests are not known in advance and arrive over time. We introduce a model of lookeahead for this class of problems, the time lookahead Δ, which allows an on-line algorithm to foresee all the requests that will be released during next Δ time units. We present lower and upper bounds on the competitive ratio of known and studied variants of the OLTsP; we compare these results with the ones from the literature. Our results show that the effectiveness of lookahead varies significantly as we consider different problems. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Allulli, L., Ausiello, G., & Laura, L. (2005). On the power of lookahead in on-line vehicle routing problems. In Lecture Notes in Computer Science (Vol. 3595, pp. 728–736). Springer Verlag. https://doi.org/10.1007/11533719_74
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