A genetic algorithm for radiotherapy pre-treatment scheduling

Authors:
Sanja Petrovic;Elkin Castro
Affiliations:
Automated Scheduling Optimisation and Planning Research Group, School of Computer Science, University of Nottingham, Nottingham, UK;Automated Scheduling Optimisation and Planning Research Group, School of Computer Science, University of Nottingham, Nottingham, UK
Venue:
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Year:
2011

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Abstract

This paper is concerned with the radiotherapy pretreatment patient scheduling. Radiotherapy pre-treatment deals with localisation of the area to be irradiated and generation of a treatment plan for a patient. A genetic algorithm is developed for patient scheduling which evolves priority rules for operations of radiotherapy pre-treatment. The fitness function takes into consideration the waiting time targets of patients and also the early idle time on resources. Real world data from a hospital in the UK are used in experiments.