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An iterated greedy algorithm for finding the minimum dominating set in graphs

Authors: Alejandra Casado; Sergio Bermudo; A. D. López-Sánchez; Jesús Sánchez-Oro;

An iterated greedy algorithm for finding the minimum dominating set in graphs

Abstract

A dominating set in a graph is a set of vertices such that every vertex outside the set is adjacent to a vertex in the set. The domination number is the minimum cardinality of a dominating set in the graph. The problem of finding the minimum dominating set is a combinatorial optimization problem that has been proved to be N P-hard. Given the difficulty of this problem, an Iterated Greedy algorithm is proposed for its solution and it is compared to the solution given by an exact algorithm and by the state-of-art algorithms. Computational results show that the proposal is able to find optimal or near-optimal solutions within a short computational time. Specifically, from the set of instances which can be optimally solved, the proposed method presents an average deviation of 0.04%. Regarding the more complex set of instances, where the exact method is not able to reach the optimal value, the proposed method achieves an average deviation of 1.23% with respect to the best-known solution.

A. Casado and J. Sánchez-Oro are supported by the “Ministerio de Ciencia e Innovación, Spain”, Grant Ref. PID2021-125709OA-C22, and by “Comunidad de Madrid” and “Fondos Estructurales” of European Union with Grant Refs. S2018/TCS-4566, Y2018/EMT-5062. S. Bermudo and A.D. López-Sánchez acknowledge support from the Junta de Andalucía, FEDER-UPO Research & Development Call, Spain , reference number UPO-1263769.

Country
Spain
Keywords

Minimum dominating set, domination number, greedy heuristics, Exact algorithm, Domination number, exact algorithm, Programming involving graphs or networks, Greedy heuristics, Approximation methods and heuristics in mathematical programming, iterated greedy, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), minimum dominating set, Iterated greedy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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