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arXiv · 2603.18471

A Faster Deterministic Algorithm for Kidney Exchange via Representative Set

Kangyi Tian·Mingyu Xiao
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Abstract

The Kidney Exchange Problem is a prominent challenge in healthcare and economics, arising in the context of organ transplantation. It has been extensively studied in artificial intelligence and optimization. In a kidney exchange, a set of donor-recipient pairs and altruistic donors are considered, with the goal of identifying a sequence of exchange -- comprising cycles or chains starting from altruistic donors -- such that each donor provides a kidney to the compatible recipient in the next donor-recipient pair. Due to constraints in medical resources, some limits are often imposed on the lengths of these cycles and chains. These exchanges create a network of transplants aimed at maximizing the total number, $t$, of successful transplants. Recently, this problem was deterministically solved in $O^*(14.34^t)$ time (IJCAI 2024). In this paper, we introduce the representative set technique for the Kidney Exchange Problem, showing that the problem can be deterministically solved in $O^*(6.855^t)$ time.

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Kangyi Tian, Mingyu Xiao. 2026-03-19. A Faster Deterministic Algorithm for Kidney Exchange via Representative Set. https://arxiv.org/abs/2603.18471

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