Title :
LS2R: A local search algorithm to solve scheduling radiotherapy problems
Author :
Cares, J.P. ; Riff, M.C. ; Araya, Ignacio
Author_Institution :
Comput. Sci. Dept., Univ. Tec. Federico Santa Maria, Valparaiso, Chile
Abstract :
In this paper we propose a local search algorithm to tackle scheduling radiotherapy problems. Our scheduling radiotherapy problem has a set of constraints that must be satisfied and another set of soft constraints that are suitable to be satisfied. Many resources are involved in the scheduling as doctors, patients and machines. The goal is focused on improving the patient care services. Our algorithm has been tested using a real world problem as well as a set of new benchmarks that we introduce in this work.
Keywords :
health care; medical administrative data processing; medical computing; patient care; radiation therapy; scheduling; local search algorithm; patient care services; scheduling radiotherapy problems; soft constraints; Cancer; Complexity theory; Delays; Schedules; Scheduling; Search problems; Local Search; Real world problem; Scheduling;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2013 13th International Conference on
Conference_Location :
Gammarth
Print_ISBN :
978-1-4799-2438-7
DOI :
10.1109/HIS.2013.6920492
