Near-Optimal Deterministic Online Transportation

For the online transportation problem with \(m\) server sites, it has long been known that the competitive ratio of any deterministic algorithm is at least \(2m-1\) . Kalyanasundaram and Pruhs conjectured in 1998 that a deterministic \((2m-1)\) -competitive algorithm exists for this problem, a conjecture that has remained open for over two decades. In this paper, we propose a new deterministic algorithm for the online transportation problem and show that it achieves a competitive ratio of at most \(8m-13\) . This is the first \(O(m)\) -competitive deterministic algorithm, coming close to the lower bound of \(2m-1\) within a constant factor.

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Publication Details

Journal
ACM Transactions on Algorithms
Published
2026-10-26
DOI
https://doi.org/10.1145/3859481
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00

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article

Near-Optimal Deterministic Online Transportation

Tsubasa Harada, Toshiya Itoh
ACM Transactions on Algorithms
Optimization and Search Problems
article

Near-Optimal Deterministic Online Transportation

Tsubasa Harada, Toshiya Itoh
article en

Abstract

For the online transportation problem with \(m\) server sites, it has long been known that the competitive ratio of any deterministic algorithm is at least \(2m-1\) . Kalyanasundaram and Pruhs conjectured in 1998 that a deterministic \((2m-1)\) -competitive algorithm exists for this problem, a conjecture that has remained open for over two decades. In this paper, we propose a new deterministic algorithm for the online transportation problem and show that it achieves a competitive ratio of at most \(8m-13\) . This is the first \(O(m)\) -competitive deterministic algorithm, coming close to the lower bound of \(2m-1\) within a constant factor.

ACM Transactions on Algorithms
Institute of Science Tokyo (JP)
Strong
Openalex Percentile: Top 12%
Optimization and Search Problems
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