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.
2024
Artificial Intelligence for Climate Change 2024, Planning and Scheduling 2024, Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion 2024, Strategies, Prediction, Interaction, and Reasoning in Italy 2024
Bolzano
CEUR Workshop Proceedings
Rambaldi Migliore, Chiara Camilla; Iacca, Giovanni; Roveri, Marco
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).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/441690
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