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AAAI 2023

Fair Short Paths in Vertex-Colored Graphs

Conference Paper AAAI Technical Track on Search and Optimization Artificial Intelligence

Abstract

The computation of short paths in graphs with arc lengths is a pillar of graph algorithmics and network science. In a more diverse world, however, not every short path is equally valuable. For the setting where each vertex is assigned to a group (color), we provide a framework to model multiple natural fairness aspects. We seek to find short paths in which the number of occurrences of each color is within some given lower and upper bounds. Among other results, we prove the introduced problems to be computationally intractable (NP-hard and parameterized hard with respect to the number of colors) even in very restricted settings (such as each color should appear with exactly the same frequency), while also presenting an encouraging algorithmic result ("fixed-parameter tractability") related to the length of the sought solution path for the general problem.

Authors

Keywords

  • GTEP: Coordination and Collaboration
  • SO: Mixed Discrete/Continuous Search

Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
104463538706100520
v2026.09.13