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
Online bin packing with lookahead
Proceedings of the sixth annual ACM-SIAM symposium on Discrete algorithms
APPROX '02 Proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization
On-Line Dial-a-Ride Problems under a Restricted Information Model
ESA '02 Proceedings of the 10th Annual European Symposium on Algorithms
Online Scheduling with Lookahead: Multipass Assembly Lines
INFORMS Journal on Computing
The Online TSP Against Fair Adversaries
INFORMS Journal on Computing
Speed is as powerful as clairvoyance [scheduling problems]
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
ACM SIGACT News
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 the power of lookahead in online lot-sizing
Operations Research Letters
On time lookahead algorithms for the online data acknowledgement problem
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
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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 lookaheadΔ, 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.