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Torbjörn Larsson

Professor

Publications

2025

Björn Morén, Torbjörn Larsson (2025) Improved Dual Bounds for Mixed-Integer Programs with Indicator Variables by Partitioning and Lagrangean Decomposition OPERATIONS RESEARCH PROCEEDINGS 2023, GOR, p. 73-79 (Conference paper) Continue to DOI
Nils-Hassan Quttineh, Torbjörn Larsson (2025) A Matheuristic for a Bi-objective Covering Problem OPERATIONS RESEARCH PROCEEDINGS 2023, GOR, p. 519-525 (Conference paper) Continue to DOI
Marduch Tadaros, Athanasios Migdalas, Nils-Hassan Quttineh, Torbjörn Larsson (2025) Evaluating metaheuristic solution quality for a hierarchical vehicle routing problem by strong lower bounding Oncoscience, Vol. 14, Article 100332 (Article in journal) Continue to DOI

2024

Frida Dohlmar, Björn Morén, Michael Sandborg, Torbjörn Larsson, Åsa Carlsson Tedgren (2024) Dwell time shaping in inverse treatment planning for cervical brachytherapy Physics and Imaging in Radiation Oncology, Vol. 32, Article 100672 (Article in journal) Continue to DOI
Uledi Ngulo, Torbjörn Larsson, Nils-Hassan Quttineh (2024) A meta-heuristic extension of the Lagrangian heuristic framework Optimization Methods and Software, Vol. 39, p. 1008-1039 (Article in journal) Continue to DOI

Research

Brachytherapy Treatment Planning-

Brachytherapy Treatment Planning

Our research on treatment planning for radiation therapy aims at obtaining better treatment outcomes and more efficient treatment planning at the clinic, by applying mathematical optimization on the multi-criteria treatment planning problem.

Organisation

Illustrative picture representing mathematics

Applied Mathematics (TIMA)

Applied mathematics is used to study advanced methods for modeling in technology as well as natural and social sciences. The division conducts research in computational mathematics, mathematical statistics and optimization.
University park behind house I.

Department of Behavioural Sciences and Learning (IBL)

Human behaviour and learning is the focus for education and research at the department. We educate students and scientists that are well equipped to meet future challenges in society and working life.

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