The Structural Complexity Landscape of Finding Balance-Fair Shortest Paths

Fuente: arXiv
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Autores principales: Bentert, Matthias, Kellerhals, Leon, Niedermeier, Rolf
Formato: Preprint
Publicado: 2024
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author Bentert, Matthias
Kellerhals, Leon
Niedermeier, Rolf
author_facet Bentert, Matthias
Kellerhals, Leon
Niedermeier, Rolf
contents We study the parameterized complexity of finding shortest s-t-paths with an additional fairness requirement. The task is to compute a shortest path in a vertex-colored graph where each color appears (roughly) equally often in the solution. We provide a complete picture of the parameterized complexity landscape of the problem with respect to structural parameters by showing a tetrachotomy including polynomial kernels, fixed-parameter tractability, XP-time algorithms (and W[1]-hardness), and para-NP-hardness.
format Preprint
id arxiv_https___arxiv_org_abs_2405_18866
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Structural Complexity Landscape of Finding Balance-Fair Shortest Paths
Bentert, Matthias
Kellerhals, Leon
Niedermeier, Rolf
Data Structures and Algorithms
Computational Complexity
We study the parameterized complexity of finding shortest s-t-paths with an additional fairness requirement. The task is to compute a shortest path in a vertex-colored graph where each color appears (roughly) equally often in the solution. We provide a complete picture of the parameterized complexity landscape of the problem with respect to structural parameters by showing a tetrachotomy including polynomial kernels, fixed-parameter tractability, XP-time algorithms (and W[1]-hardness), and para-NP-hardness.
title The Structural Complexity Landscape of Finding Balance-Fair Shortest Paths
topic Data Structures and Algorithms
Computational Complexity
url https://arxiv.org/abs/2405.18866