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Large Language Models for Combinatorial Optimization: A Systematic Review
This systematic review explores the application of Large Language Models (LLMs) in Combinatorial Optimization (CO). We report our …
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Behavior and representation in open-weight Large Language Models for combinatorial optimization: From feature extraction to algorithm selection
Recent advances in Large Language Models (LLMs) open new perspectives for automation in optimization, yet little is known about whether …
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Corrigendum to ``Multi-neighborhood simulated annealing for the oven scheduling problem'' [Comput. Oper. Res. 177 (2025) 106999]

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Multi-neighborhood simulated annealing for the home healthcare routing and scheduling problem
AbstractOver time, the focus on supportive and geriatric care has shifted from being predominantly provided in institutional settings …
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A unified formulation for home healthcare routing and scheduling problems
Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients’ homes to deliver …
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Multi-neighborhood simulated annealing for the oven scheduling problem

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Preface to the Special Issue on Metaheuristics: Recent Advances and Applications

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Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region
Emergency Medical Services (EMS) are crucial in delivering timely and effective medical care to patients in need. However, the complex …
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Multi-neighborhood simulated annealing for the capacitated facility location problem with customer incompatibilities

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Solving the medical student scheduling problem using simulated annealing

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