Researchers have developed new heuristic methods, RTSP First Fit and RTSP Best Fit, to optimize radiotherapy scheduling, addressing limitations of existing integer linear programming models. These heuristics, when combined with simulated annealing, significantly reduce computation time and memory usage while achieving solutions comparable to exact methods. The new approaches were evaluated on a public dataset against established solvers, focusing on patient waiting times, preference satisfaction, and accelerator assignment. AI
IMPACT These optimization techniques could improve patient care by reducing wait times and resource allocation inefficiencies in radiotherapy.
RANK_REASON Academic paper presenting novel methods and evaluation. [lever_c_demoted from research: ic=1 ai=0.4]
- Chiara Camilla Rambaldi Migliore
- Radiotherapy Scheduling Problem
- RTSP Best Fit
- RTSP First Fit
- simulated annealing
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