Jul 16, 2018 · In this paper, we design and develop combinatorial optimization models for supporting the bed assignment decision-making process. Since the ...

Jul 16, 2018 · The matheuristic is implemented and tested on literature-based benchmark instances. It shows impressive computational performance for all the ...

In this paper, we design and develop combinatorial optimization models for supporting the bed assignment decision-making process. Since the problem is NP-hard, ...

In this paper, we design and develop combinatorial optimization models for supporting the bed assignment decision-making process. Since the problem is NP-hard, ...

An integer programming model for offline patient admissions, room assignments, and surgery scheduling is formulated and a matheuristic that combines exact ...

In this paper, we design and develop combinatorial optimization models for supporting the bed assignment decision-making process. Since the problem is NP-hard, ...

This paper develops a model and solution approach for solving the patient bed-assignment problem that is based on a machine learning (ML) approach to ...

In this paper, we design and develop combinatorial optimization models for supporting the bed assignment decision-making process. Since the problem is NP-hard, ...

An efficient matheuristic for offline patient-to-bed assignment problems. European Journal of Operational Research, 268(2), 486–503. https://doi.org/10.1016 ...

Feb 22, 2023 · We develop an efficient matheuristic approach based on large neighborhood search and fix and optimize heuristic. We tested our optimization ...