Code and Data Repository for A Bilevel Optimization Approach for a Class of Combinatorial Problems with Disruptions and Probing

The "data" folder contains all the datasets used in the paper, including the shortest path networks in DIMACS format and the project selection (knapsack) problem instances. For the project selection problem instances, the files display the nominal profits, the weigths, and the right-hand-side coefficient. The name of the files present the size (network size for shortest path and number of items for knapsack) as well as the random seed used for its generation (a number between 0 and 9 corresponding to each one of the ten replicas per configuration).

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2024-12-13
DOI
https://doi.org/10.1287/ijoc.2024.0629.cd
Primary Topic
Optimization and Packing Problems
Type
article
Field-Weighted Citation Impact
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article

Code and Data Repository for A Bilevel Optimization Approach for a Class of Combinatorial Problems with Disruptions and Probing

Leonardo Lozano, Juan S. Borrero
INFORMS journal on computing
Optimization and Packing Problems
article

Code and Data Repository for A Bilevel Optimization Approach for a Class of Combinatorial Problems with Disruptions and Probing

Leonardo Lozano, Juan S. Borrero
article en

Abstract

The "data" folder contains all the datasets used in the paper, including the shortest path networks in DIMACS format and the project selection (knapsack) problem instances. For the project selection problem instances, the files display the nominal profits, the weigths, and the right-hand-side coefficient. The name of the files present the size (network size for shortest path and number of items for knapsack) as well as the random seed used for its generation (a number between 0 and 9 corresponding to each one of the ten replicas per configuration).

INFORMS journal on computing
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Optimization and Packing Problems
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