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This paper proposes an analysis of the resource allocation in different medical facilities by merging a queuing system together with a compartmental model and a swarm intelligence algorithm. The moth flame optimizer is used to tune the queuing system parameters to minimize the costs. The paper offers a simulation to illustrate the outcome of the queuing system when the input parameters change, using real data.

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Smart Optimization Techniques for Patient Management

  • 会议论文

  • 发表日期：

    2025年

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  • Smaranda Belciug,
  • Florin Ispas

摘要

This paper proposes an analysis of the resource allocation in different medical facilities by merging a queuing system together with a compartmental model and a swarm intelligence algorithm. The moth flame optimizer is used to tune the queuing system parameters to minimize the costs. The paper offers a simulation to illustrate the outcome of the queuing system when the input parameters change, using real data.