THREE ALGORITHMIC APPROACHES TO THE GENERAL POSITION PROBLEM

Abstract If G is a graph, then $X\subseteq V(G)$ is a general position set if for every two vertices $v,u\in X$ and every shortest $(u,v)$ -path P , no inner vertex of P lies in X . We propose three algorithms to compute a largest general position set in G : an integer linear programming algorithm, a genetic algorithm and a simulated annealing algorithm. These approaches are supported by examples from different areas of graph theory.

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Publication Details

Journal
Bulletin of the Australian Mathematical Society
Published
2025-07-04
DOI
https://doi.org/10.1017/s0004972725100178
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
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article

THREE ALGORITHMIC APPROACHES TO THE GENERAL POSITION PROBLEM

Mostafa Tavakoli, Sandi Klavžar, Narjes ‎‎Sabeghi, Zahra Hamed-Labbafian
Bulletin of the Australian Mathematical Society
Computational Geometry and Mesh Generation
article

THREE ALGORITHMIC APPROACHES TO THE GENERAL POSITION PROBLEM

Mostafa Tavakoli, Sandi Klavžar, Narjes ‎‎Sabeghi, Zahra Hamed-Labbafian
article en

Abstract

Abstract If G is a graph, then $X\subseteq V(G)$ is a general position set if for every two vertices $v,u\in X$ and every shortest $(u,v)$ -path P , no inner vertex of P lies in X . We propose three algorithms to compute a largest general position set in G : an integer linear programming algorithm, a genetic algorithm and a simulated annealing algorithm. These approaches are supported by examples from different areas of graph theory.

Bulletin of the Australian Mathematical SocietyVol. 113(1)
University of Maribor (SI), Ferdowsi University of Mashhad (IR)
Openalex Percentile: Top 72%
Computational Geometry and Mesh Generation
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