Multilevel graph partitioning: an evolutionary approach

Date

2005-05-01

Author

Kucupetek, S
Polat, Faruk
Oguztuzun, H

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The graph partitioning problem is defined as that of dividing the vertices of an undirected graph into a set of balanced parts through the removal of a set of edges, whose size is to be minimized. A number of researchers have investigated multilevel schemes, which coarsen the graph by collapsing vertices and edges, partition the smaller graph, and then uncoarsen it to construct a partitioning of the original graph. In this paper, a genetic algorithm for the coarsening phase of a multilevel scheme for graph partitioning is presented. The proposed approach has been demonstrated to improve the solution quality at the expense of running time.

Subject Keywords

Marketing, Management Science and Operations Research, Strategy and Management, Management Information Systems

URI

https://hdl.handle.net/11511/45955

Collections

Department of Computer Engineering, Article