A novel genetic algorithm based system for the scheduling of medical treatments

作者：

Highlights：

• A novel genetic algorithm, LSWT-GA, is presented for medical treatment scheduling.

• LSWT-GA adopts survivor selection policy with heuristic population initialisation.

• The evaluation of the LSWT-GA run time for makespan minimisation is promising.

• An original synthetic data set is developed for medical scheduling optimisation.

摘要

•A novel genetic algorithm, LSWT-GA, is presented for medical treatment scheduling.•LSWT-GA adopts survivor selection policy with heuristic population initialisation.•The evaluation of the LSWT-GA run time for makespan minimisation is promising.•An original synthetic data set is developed for medical scheduling optimisation.

论文关键词：Genetic Algorithm,List Scheduling Wildcard Tournament Genetic Algorithm (LSWT-GA),Medical scheduling,repetitive Transcranial Magnetic Stimulation (rTMS)

论文评审过程：Received 16 May 2020, Revised 12 December 2021, Accepted 23 December 2021, Available online 14 January 2022, Version of Record 1 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116464