Dial-a-Ride problems consist of a set V of n vertices in a metric space (denoting travel time between vertices) and a set of m objects represented as source-destination pairs {(S i,t i)} mi=1 , where each object requires to be moved from its source to destination vertex. In the multi-vehicle Dial-a-Ride problem, there are q vehicles each having capacity k and where each vehicle j [q] has its own depot-vertex r j εV. A feasible schedule consists of a capacitated route for each vehicle (where vehicle j originates and ends at its depot r j ε) that together move all objects from their sources to destinations. The objective is to find a feasible schedule that minimizes the maximum completion time (i.e. makespan) of vehicles, where the completion time of vehicle j is the time when it returns to its depot r j at the end of its route. We consider the preemptive version of multi-vehicle Dial-a-Ride, where an object may be left at intermediate vertices and transported by more than one vehicle, while being moved from source to destination. Approximation algorithms for the single vehicle Dial-a-Ride problem (q=1) have been considered in [3,10]. Our main results are an O(log 3 n)-approximation algorithm for preemptive multi-vehicle Dial-a-Ride, and an improved O(logt)-approximation for its special case when there is no capacity constraint (here t≤n is the number of distinct depot-vertices). There is an Ω(log 1/4 n) hardness of approximation known [9] even for single vehicle capacitated preemptive Dial-a-Ride. We also obtain an improved constant factor approximation algorithm for the uncapacitated multi-vehicle problem on metrics induced by graphs excluding any fixed minor. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Gørtz, I. L., Nagarajan, V., & Ravi, R. (2009). Minimum makespan multi-vehicle dial-a-ride. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5757 LNCS, pp. 540–552). https://doi.org/10.1007/978-3-642-04128-0_48
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