Sciweavers

Share
ICTAI
2010
IEEE

An Effective Multilevel Memetic Algorithm for Balanced Graph Partitioning

8 years 1 months ago
An Effective Multilevel Memetic Algorithm for Balanced Graph Partitioning
The balanced graph partitioning consists in dividing the vertices of an undirected graph into a given number of subsets of approximately equal size, such that the number of edges crossing the subsets is minimized. In this work, we present a multilevel memetic algorithm for this NP-hard problem that relies on a powerful grouping recombination operator and a dedicated local search procedure. The proposed operator tends to preserve the backbone with respect to a set of parent individuals, i.e. the grouping of vertices which is same throughout each parent individual. Although our approach requires significantly longer computing time compared to some current state-of-art graph partitioning algorithms such as SCOTCH, METIS, CHACO, JOSTLE, etc., it competes very favorably with these approaches in terms of solution quality. Moreover, it easily reaches or improves on the best partitions ever reported in the literature.
Una Benlic, Jin-Kao Hao
Added 13 Feb 2011
Updated 13 Feb 2011
Type Journal
Year 2010
Where ICTAI
Authors Una Benlic, Jin-Kao Hao
Comments (0)
books