Binary Particle Swarm Optimization Algorithm for Kidney Exchanges

Wael M. F. Abdel-Rehim

doi:10.20944/preprints202012.0563.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 21 December 2020 / Approved: 22 December 2020 / Online: 22 December 2020 (12:57:56 CET)
Version 2 : Received: 11 May 2021 / Approved: 14 May 2021 / Online: 14 May 2021 (11:03:30 CEST)

In this paper, we implement a Particle Swarm Optimization (PSO) based method for solving the kidney exchange problem. Because using a kidney exchange, we can help incompatible patient-donor couples to swap donors to receive a compatible kidney. Implementing Particle Swarm Optimization in solving the kidney exchange problem is an effective method because the obtained results indicate that PSO outperforms other stochastic-based methods such as Genetic Algorithm regarding the efficient the number of resulting exchanges.

kidney exchange; Particle Swarm; Meta-heuristics; Optimization

Computer Science and Mathematics, Algebra and Number Theory

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Binary Particle Swarm Optimization Algorithm for Kidney Exchanges

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