Competing for the most profitable tour: The orienteering interdiction game

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Main Authors: Álvarez-Miranda, Eduardo, Sinnl, Markus, Tanınmış, Kübra
Format: Preprint
Published: 2024
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author Álvarez-Miranda, Eduardo
Sinnl, Markus
Tanınmış, Kübra
author_facet Álvarez-Miranda, Eduardo
Sinnl, Markus
Tanınmış, Kübra
contents The orienteering problem is a well-studied and fundamental problem in transportation science. In the problem, we are given a graph with prizes on the nodes and lengths on the edges, together with a budget on the overall tour length. The goal is to find a tour that respects the length budget and maximizes the collected prizes. In this work, we introduce the orienteering interdiction game, in which a competitor (the leader) tries to minimize the total prize that the follower can collect within a feasible tour. To this end, the leader interdicts some of the nodes so that the follower cannot collect their prizes. The resulting interdiction game is formulated as a bilevel optimization problem, and a single-level reformulation is obtained based on interdiction cuts. A branch-and-cut algorithm with several enhancements, including the use of a solution pool, a cut pool and a heuristic method for the follower's problem, is proposed. In addition to this exact approach, a genetic algorithm is developed to obtain high-quality solutions in a short computing time. In a computational study based on instances from the literature for the orienteering problem, the usefulness of the proposed algorithmic components is assessed, and the branch-and-cut and genetic algorithms are compared in terms of solution time and quality.
format Preprint
id arxiv_https___arxiv_org_abs_2407_02959
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Competing for the most profitable tour: The orienteering interdiction game
Álvarez-Miranda, Eduardo
Sinnl, Markus
Tanınmış, Kübra
Optimization and Control
Discrete Mathematics
90B06, 90C10, 90C57
The orienteering problem is a well-studied and fundamental problem in transportation science. In the problem, we are given a graph with prizes on the nodes and lengths on the edges, together with a budget on the overall tour length. The goal is to find a tour that respects the length budget and maximizes the collected prizes. In this work, we introduce the orienteering interdiction game, in which a competitor (the leader) tries to minimize the total prize that the follower can collect within a feasible tour. To this end, the leader interdicts some of the nodes so that the follower cannot collect their prizes. The resulting interdiction game is formulated as a bilevel optimization problem, and a single-level reformulation is obtained based on interdiction cuts. A branch-and-cut algorithm with several enhancements, including the use of a solution pool, a cut pool and a heuristic method for the follower's problem, is proposed. In addition to this exact approach, a genetic algorithm is developed to obtain high-quality solutions in a short computing time. In a computational study based on instances from the literature for the orienteering problem, the usefulness of the proposed algorithmic components is assessed, and the branch-and-cut and genetic algorithms are compared in terms of solution time and quality.
title Competing for the most profitable tour: The orienteering interdiction game
topic Optimization and Control
Discrete Mathematics
90B06, 90C10, 90C57
url https://arxiv.org/abs/2407.02959