Competitive algorithms for server problems
Journal of Algorithms
New Approximation Guarantees for Minimum-Weight k-Trees and Prize-Collecting Salesmen
SIAM Journal on Computing
On-line single-server dial-a-ride problems
Theoretical Computer Science
Journal of Algorithms
Euler is standing in line dial-a-ride problems with precedence-constraints
Discrete Applied Mathematics - special issue on the 25th international workshop on graph theoretic concepts in computer science (WG'99)
Linear Time Approximation Schemes for Vehicle Scheduling
SWAT '02 Proceedings of the 8th Scandinavian Workshop on Algorithm Theory
Theoretical Computer Science - Approximation and online algorithms
Note: An adversarial queueing model for online server routing
Theoretical Computer Science
New policies for the dynamic traveling salesman problem
Optimization Methods & Software
Online decision making and automatic decision model adaptation
Computers and Operations Research
A survey on metaheuristics for stochastic combinatorial optimization
Natural Computing: an international journal
Competitive analysis of a dispatch policy for a dynamic multi-period routing problem
Operations Research Letters
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We consider the dynamic traveling repair problem in which requests with deadlines arrive through time on points in a metric space. Servers move from point to point at constant speed. The goal is to plan the motion of servers so that the maximum number of requests are met by their deadline. We consider a restricted version of the problem in which there is a single server and the length of time between the arrival of a request and its deadline is constant. We give upper bounds for the competitive ratio of two very natural algorithms as well as several lower bounds for any deterministic algorithm. Most of the results in this paper are expressed as a function of β, the diameter of the metric space. In particular, we prove that the upper bound given for one of the two algorithms is within a constant factor of the best possible competitive ratio.