Constructive heuristic for the vertex bisection problem

The Vertex Bisection Problem (VBP) consists in partitioning a generic graph into two equally– sized subgraphs and such that the number of vertices in with at least one adjacent vertex in is minimized. This problem is NP–hard with practical applications in the telecommunication industry. In this arti...

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Detalles Bibliográficos
Autores: Norberto Castillo-García, Paula Hernández-Hernández
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:México
Institución:Tecnológico Nacional de México
Repositorio:Redalyc-TNM
OAI Identifier:oai:redalyc.org:47471673005
Acceso en línea:https://www.redalyc.org/articulo.oa?id=47471673005
https://www.redalyc.org/journal/474/47471673005/
https://www.redalyc.org/journal/474/47471673005/html/
https://www.redalyc.org/journal/474/47471673005/47471673005.epub
https://www.redalyc.org/journal/474/47471673005/movil
Access Level:acceso abierto
Palabra clave:Ingeniería
Constructive algorithm
Heuristic optimization
Vertex Bisection Problem
Descripción
Sumario:The Vertex Bisection Problem (VBP) consists in partitioning a generic graph into two equally– sized subgraphs and such that the number of vertices in with at least one adjacent vertex in is minimized. This problem is NP–hard with practical applications in the telecommunication industry. In this article we propose a new constructive algorithm for VBP based on the Greedy Randomized Adaptive Search Procedure (GRASP) methodology. We call our algorithm CVBP. We compare CVBP with a previously published GRASP–based constructive algorithm (LIT) in order to assess the performance of our algorithm in practice. The results of the experiment showed that CVBP outperformed LIT by 75.83 % in solution quality. The validation of the experimental evidence was performed by the well–known Wilcoxon Signed Rank Sum Test. The test found statistical significance for a confidence level of 99.99 %. Therefore, we consider that our constructive heuristic is a good alternative to stochastically solve the Vertex Bisection Problem.