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Dual-Neighborhood Search for Solving the Minimum Dominating Tree Problem

Ze Pan, Xinyun Wu () and Caiquan Xiong
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Ze Pan: School of Computer Science, Hubei University of Technology, Wuhan 430068, China
Xinyun Wu: School of Computer Science, Hubei University of Technology, Wuhan 430068, China
Caiquan Xiong: School of Computer Science, Hubei University of Technology, Wuhan 430068, China

Mathematics, 2023, vol. 11, issue 19, 1-20

Abstract: The minimum dominating tree (MDT) problem consists of finding a minimum weight subgraph from an undirected graph, such that each vertex not in this subgraph is adjacent to at least one of the vertices in it, and the subgraph is connected without any ring structures. This paper presents a dual-neighborhood search (DNS) algorithm for solving the MDT problem, which integrates several distinguishing features, such as two neighborhoods collaboratively working for optimizing the objective function, a fast neighborhood evaluation method to boost the searching effectiveness, and several diversification techniques to help the searching process jump out of the local optimum trap thus obtaining better solutions. DNS improves the previous best-known results for four public benchmark instances while providing competitive results for the remaining ones. Several ingredients of DNS are investigated to demonstrate the importance of the proposed ideas and techniques.

Keywords: metaheuristic; dominating tree; dual neighborhoods; fast neighborhood evaluation; optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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