Online computation and competitive analysis
Online computation and competitive analysis
Amortized efficiency of list update rules
STOC '84 Proceedings of the sixteenth annual ACM symposium on Theory of computing
The online target date assignment problem
WAOA'05 Proceedings of the Third international conference on Approximation and Online Algorithms
Competitive analysis of a dispatch policy for a dynamic multi-period routing problem
Operations Research Letters
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In this paper, we consider the Online Target Date Assignment Problem (OnlineTDAP) for general downstream problems, where the downstream cost are nonnegative, additive and satisfy the triangle inequality. We analyze algorithm smart, which was introduced by Angelelli et al. [3] and give its exact competitive ratio depending on the number of requests. Since the obtained competitive ratio is at most 22-1~1.8284 we answer the question posed in Angelelli et al. [4] if smart has a competitive ratio strictly less than 2. Moreover, we introduce a new algorithm called clever and show that this strategy has a competitive ratio of 3/2. We show that this is asymptotically optimal by proving that no online algorithm can perform better than 3/2-@e.