Amortized efficiency of list update and paging rules
Communications of the ACM
A competitive analysis of the list update problem with lookahead
Theoretical Computer Science
Online computation and competitive analysis
Online computation and competitive analysis
An improved approximation ratio for the minimum latency problem
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Journal of the ACM (JACM)
On-line single-server dial-a-ride problems
Theoretical Computer Science
SIAM Journal on Computing
The Minimum Latency Problem Is NP-Hard for Weighted Trees
Proceedings of the 9th International IPCO Conference on Integer Programming and Combinatorial Optimization
APPROX '02 Proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization
The Online TSP Against Fair Adversaries
INFORMS Journal on Computing
A 3-approximation for the minimum tree spanning k vertices
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Algorithms for the on-line quota traveling salesman problem
Information Processing Letters
Online Routing Problems: Value of Advanced Information as Improved Competitive Ratios
Transportation Science
Note: An adversarial queueing model for online server routing
Theoretical Computer Science
The on-line asymmetric traveling salesman problem
Journal of Discrete Algorithms
Online k-Server Routing Problems
Theory of Computing Systems
On-Line algorithms, real time, the virtue of laziness, and the power of clairvoyance
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
On an Online Traveling Repairman Problem with Flowtimes: Worst-Case and Average-Case Analysis
COCOON '09 Proceedings of the 15th Annual International Conference on Computing and Combinatorics
Online traveling salesman problem with deadline and advanced information
Computers and Industrial Engineering
How much is it worth to know the future in online conversion problems?
Discrete Applied Mathematics
Hi-index | 5.23 |
We study the usefulness of lookahead in on-line server routing problems: if an on-line algorithm is not only informed about the requests released so far, but also has a limited ability to foresee future requests, what is the improvement that can be achieved in terms of the competitive ratio? We consider several on-line server routing problems in this setting, such as the on-line traveling salesman and the on-line traveling repairman problem. We show that the influence of lookahead can change considerably depending on the particular objective function and metric space considered.