The scheduling of radiation therapy is a complex problem that significantly impacts patient outcomes and the use of healthcare resources. This paper proposes a novel formalization of the radiotherapy scheduling problem (RTSP) as a modified one-dimensional bin-packing problem (BPP). This formalization offers several advantages, including leveraging state-of-the-art solvers for the one-dimensional BPP and extending the formulation to various BPP variants that align with the complexities of the RTSP. Preliminary results on a synthetic instance demonstrate the feasibility of the proposed approach.
A Bin-Packing Formulation for Radiotherapy Treatment Scheduling / Rambaldi Migliore, Chiara Camilla; Iacca, Giovanni; Roveri, Marco. - (2024). (Intervento presentato al convegno AI4CC-IPS-RCRA-SPIRIT 2024 tenutosi a Bolzano nel 25th November-28th November 2024).
A Bin-Packing Formulation for Radiotherapy Treatment Scheduling
Chiara Camilla Migliore Rambaldi;Giovanni Iacca;Marco Roveri
2024-01-01
Abstract
The scheduling of radiation therapy is a complex problem that significantly impacts patient outcomes and the use of healthcare resources. This paper proposes a novel formalization of the radiotherapy scheduling problem (RTSP) as a modified one-dimensional bin-packing problem (BPP). This formalization offers several advantages, including leveraging state-of-the-art solvers for the one-dimensional BPP and extending the formulation to various BPP variants that align with the complexities of the RTSP. Preliminary results on a synthetic instance demonstrate the feasibility of the proposed approach.| File | Dimensione | Formato | |
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