The multiple steiner TSP with cyclic order on terminals: valid inequalities and polyhedra

Abstract This paper deals with a variant of the Traveling Salesman Problem (TSP), called the Multiple Steiner TSP with Order Constraints (MSTSPOC). Consider an undirected graph with nonnegative weights on the edges, and a set of salesmen such that with each salesman is associated a set of ordered terminals. The MSTSPOC consists in finding a minimum-weight subgraph containing for each salesman a tour going in order through its terminals. We study the polytope associated with the Integer Linear Programming (ILP) formulation proposed in Borne et al. (2013). We characterize when the basic inequalities define facets. We also describe new valid inequalities along with necessary conditions and sufficient conditions for these inequalities to be facet-defining. Further families of valid inequalities, coming from closely related problems, are also discussed. The theoretical results presented in this paper are computationally tested in a companion paper (Taktak 2024).

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Publication Details

Journal
Journal of Combinatorial Optimization
Published
2025-06-02
DOI
https://doi.org/10.1007/s10878-025-01288-1
Citations
1
Primary Topic
Vehicle Routing Optimization Methods
Type
article
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article

The multiple steiner TSP with cyclic order on terminals: valid inequalities and polyhedra

Raouia Taktak, Eduardo Uchoa, A. Ridha Mahjoub
1 citations
Journal of Combinatorial Optimization
Vehicle Routing Optimization Methods
article

The multiple steiner TSP with cyclic order on terminals: valid inequalities and polyhedra

Raouia Taktak, Eduardo Uchoa, A. Ridha Mahjoub
article en
1 citations

Abstract

Abstract This paper deals with a variant of the Traveling Salesman Problem (TSP), called the Multiple Steiner TSP with Order Constraints (MSTSPOC). Consider an undirected graph with nonnegative weights on the edges, and a set of salesmen such that with each salesman is associated a set of ordered terminals. The MSTSPOC consists in finding a minimum-weight subgraph containing for each salesman a tour going in order through its terminals. We study the polytope associated with the Integer Linear Programming (ILP) formulation proposed in Borne et al. (2013). We characterize when the basic inequalities define facets. We also describe new valid inequalities along with necessary conditions and sufficient conditions for these inequalities to be facet-defining. Further families of valid inequalities, coming from closely related problems, are also discussed. The theoretical results presented in this paper are computationally tested in a companion paper (Taktak 2024).

Journal of Combinatorial OptimizationVol. 49(5)
Centre National de la Recherche Scientifique (FR), University of Sfax (TN), Universidade Federal Fluminense (BR), Kuwait University (KW), Digital Research Centre of Sfax (TN), Université Paris Dauphine-PSL (FR)
Reduced inequalities
Openalex Percentile: Top 83%
Vehicle Routing Optimization Methods
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