Outpatient Scheduling with Genetic Algorithm: The Power of Mutation Operators

The efficiency of the genetic algorithm developed for outpatient scheduling is strongly influenced by the choice of mutation operator. The performance of the algorithm can be greatly enhanced by employing a specialized mutation operator tailored to the objective function.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-04-24
DOI
https://doi.org/10.3233/shti250198
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Outpatient Scheduling with Genetic Algorithm: The Power of Mutation Operators

Tibor Dulai, Ágnes Vathy-Fogarassy, Veronika Gombás, Péter Bálint Scsibrán
Studies in health technology and informatics
Healthcare Operations and Scheduling Optimization
article

Outpatient Scheduling with Genetic Algorithm: The Power of Mutation Operators

Tibor Dulai, Ágnes Vathy-Fogarassy, Veronika Gombás, Péter Bálint Scsibrán
article en

Abstract

The efficiency of the genetic algorithm developed for outpatient scheduling is strongly influenced by the choice of mutation operator. The performance of the algorithm can be greatly enhanced by employing a specialized mutation operator tailored to the objective function.

Studies in health technology and informaticsVol. 324
University of Pannonia (HU)
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Openalex Percentile: Top 77%
Healthcare Operations and Scheduling Optimization
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