Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Binary Particle Swarm Optimization Algorithm for Kidney Exchanges

Version 1 : Received: 21 December 2020 / Approved: 22 December 2020 / Online: 22 December 2020 (12:57:56 CET)

How to cite: Abdel-Rehim, W.M.F. Binary Particle Swarm Optimization Algorithm for Kidney Exchanges. Preprints 2020, 2020120563 (doi: 10.20944/preprints202012.0563.v1). Abdel-Rehim, W.M.F. Binary Particle Swarm Optimization Algorithm for Kidney Exchanges. Preprints 2020, 2020120563 (doi: 10.20944/preprints202012.0563.v1).

Abstract

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.

Subject Areas

kidney exchange; Particle Swarm; Meta-heuristics; Optimization

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