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Knudseth, Sunniva Haukvik; Hoff, Arild; Oppen, Johan & Hvattum, Lars Magnus
(2023).
Decision support for allocating farmed fish to customer orders using a bi-objective optimization model
.
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Hoff, Arild; Shaabani, Homayoun; Hvattum, Lars Magnus & Laporte, Gilbert
(2023).
A matheuristic for the multi-product maritime inventory routing problem.
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Knudseth, Sunniva Haukvik; Molland, Even; Hoff, Arild; Hvattum, Lars Magnus & Oppen, Johan
(2022).
Decision Support for Allocating Farmed Fish to Customer Orders Using a Bi-objective Optimization Model.
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Ben Ahmed, Mohamed ; Hvattum, Lars Magnus & Haouari, Mohamed
(2021).
A matheuristic for the robust integrated airline scheduling problem.
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Shaabani, Homayoun; Hoff, Arild; Hvattum, Lars Magnus & Laporte, Gilbert
(2021).
A matheuristic algorithm for maritime inventory routing problem.
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Hoff, Arild; Hvattum, Lars Magnus & Danielsen, Ketil
(2021).
An application of the multi-depot heterogeneous fixed fleet open vehicle routing problem.
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Dósa, György; Hvattum, Lars Magnus; Olaj, Tomas Attila Paulsen & Tuza, Zsolt
(2020).
The board packing problem : packing rectangles into a board to maximize profit.
I Vassanyi, Istvan (Red.),
Proceedings of the Pannonian Conference on Advances in Information Technology (PCIT 2020).
University of Pannonia, Faculty of Information Technology.
ISSN 978-963-396-144-5.
s. 10–16.
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Bentsen, Håkon; Hvattum, Lars Magnus & Urrutia, Sebastián
(2019).
A review of Binary Integer Programming applications and solution methods.
Vis sammendrag
Binary Integer Programming (BIP) covers a large variety of different problems, with many real world applications. This work first reviews the scientific literature with the aim of creating an overview of the most important applications of pure BIP models. The literature review is conducted using different search strings in order to find the relevant papers from prominent online databases. The findings are then filtered manually and categorized by application. There are relatively few general purpose solvers for BIP, and computational experiments are conducted to show their performance on benchmark instances from the literature, covering a wide variety of applications. Based on these results, we argue that there is a need for improved general purpose solvers for BIP problems, with a performance level closer to what is found in specialized solvers.
Keywords: programming, mixed-integer
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Hvattum, Lars Magnus & Pantuso, Giovanni
(2019).
Maximizing financial and on-field performances when composing teams in soccer.
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Hvattum, Lars Magnus; da Silva, Rodrigo Ferreira & Glover, Fred
(2019).
Exploring properties of combining solutions of the Boolean optimization problem.
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Hvattum, Lars Magnus & Hustad, Trond
(2019).
Moldes viktigste spiller
.
[Avis].
Romsdals Budstikke.
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Hvattum, Lars Magnus; Zaitseva, Anna & Urrutia, Sebastián
(2018).
Profit maximization in inventory routing problems.
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Bolstad, Kamilla; Joshi, Manu; Stålhane, Magnus & Hvattum, Lars Magnus
(2018).
Optimizing the vessel fleet size and mix to perform maintenance at offshore wind farms.
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Dahle, Lars; Andersson, Henrik; Christiansen, Marielle & Hvattum, Lars Magnus
(2018).
The vehicle routing problem with dynamic occasional drivers - a multistage formulation.
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Hvattum, Lars Magnus & Sæbø, Olav Drivenes
(2017).
Modelling clubs' financial investment in association football players.
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Hvattum, Lars Magnus
(2017).
Solving complex optimization problems in practical settings based on findings in the research literature.
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Stålhane, Magnus; Vefsnmo, Hanne; Halvorsen-Weare, Elin Espeland; Hvattum, Lars Magnus & Nonås, Lars Magne
(2016).
Vessel fleet optimization for maintenance operations at offshore wind farms under uncertainty.
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Stien, Fredrik Berg; Brachner, Markus & Hvattum, Lars Magnus
(2016).
Distance versus capacity objectives for emergency response systems.
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Hvattum, Lars Magnus & Hemmati, Ahmad
(2016).
Statistical analysis of randomization in adaptive large neighborhood search.
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Rodrigues, Filipe; Agra, Agostinho; Christiansen, Marielle & Hvattum, Lars Magnus
(2016).
Dealing with uncertainty in a maritime inventory routing problem.
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Santini, Alberto; Røpke, Stefan & Hvattum, Lars Magnus
(2016).
A Comparison of Acceptance Criteria for the Adaptive Large Neighbourhood Search Metaheuristic.
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Stålhane, Magnus; Hvattum, Lars Magnus & Skaar, Vidar
(2015).
Optimization of routing and scheduling of vessels to perform maintenance operations at offshore wind farms.
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Algendi, Abdalrahman; Urrutia, Sebastián; Hvattum, Lars Magnus & Helgheim, Berit
(2024).
Home health care staffing, routing, and scheduling problem with multiple shifts and emergency considerations
.
Molde University College - Specialized University in Logistics.
ISSN 978-82-7962-362-5.
Vis sammendrag
Effective planning of human resources is critical in designing an efficient home healthcare system.
In this study, we present a novel home healthcare staffing, routing, and scheduling problem inspired
by a real-world application. The proposed problem addresses a set of patients, with varying daily
visit requirements, being served by a set of caregivers with different qualification levels over a
multi-day multi-shift planning horizon. The study aims to achieve three objectives: minimizing the
number of additional shifts, maximizing the allocation of caregivers to emergencies, and minimizing
the sum of route lengths. These objectives are optimized hierarchically while considering a set
of restrictions, including time windows, skill matching, synchronicity, care continuity, and labor
regulations. To tackle the problem, we introduce a mixed-integer linear programming model. The
model is then extended and two sets of valid inequalities are incorporated to enhance its tightness.
Computational experiments are conducted on a set of 20 instances. The results highlight the
efficiency of the proposed extension in increasing both the number of instances that can be solved
to optimality and the number of instances for which a feasible solution is found.
Keywords: Mixed-integer programming; Valid inequalities; Home healthcare; Human resource planning;
Multiple shifts; Synchronization.
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