Submitted:
21 December 2020
Posted:
22 December 2020
Read the latest preprint version here
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.
Keywords:
kidney exchange
; Particle Swarm
; Meta-heuristics
; Optimization
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