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An evolutionary algorithm for graph planarisation by vertex deletion

Pinheiro, Rodrigo Lankaites; Constantino, Ademir Aparecido; de Mendonca, Candido F. X.; Landa-Silva, Dario

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Authors

Rodrigo Lankaites Pinheiro

Ademir Aparecido Constantino

Candido F. X. de Mendonca



Abstract

A non-planar graph can only be planarised if it is structurally modified. This work presents a new heuristic algorithm that uses vertices deletion to modify a non-planar graph in order to obtain a planar subgraph. The proposed algorithm aims to delete a minimum number of vertices to achieve its goal. The vertex deletion number of a graph G = (V,E) is the smallest integer k ? 0 such that there is an induced planar subgraph of G obtained by the removal of k vertices of G. Considering that the corresponding decision problem is NPcomplete and an approximation algorithm for graph planarisation by vertices deletion does not exist, this work proposes an evolutionary algorithm that uses a constructive heuristic algorithm to planarise a graph. This constructive heuristic has time complexity of O(n+m), where m = |V| and n = |E|, and it is based on the PQ-trees data structure and on the vertex deletion operation. The algorithm performance is verified by means of case studies.

Citation

Pinheiro, R. L., Constantino, A. A., de Mendonca, C. F. X., & Landa-Silva, D. An evolutionary algorithm for graph planarisation by vertex deletion. Presented at 16th International Conference on Enterprise Information Systems (ICEIS 2014)

Conference Name 16th International Conference on Enterprise Information Systems (ICEIS 2014)
End Date Apr 30, 2014
Publication Date Jan 1, 2014
Deposit Date Jan 22, 2016
Publicly Available Date Jan 22, 2016
Peer Reviewed Peer Reviewed
Keywords evolutionary algorithms, graphical data representation
Public URL https://nottingham-repository.worktribe.com/output/999568
Publisher URL http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004883704640471
Additional Information Published in: Proceedings of the 16th International Conference on Enterprise Information Systems, ISBN 9789897580277, pages 464-471. DOI: 10.5220/0004883704640471

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