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Genetic Algorithm and Graph Partitioning
July 1996 (vol. 45 no. 7)
pp. 841-855

Abstract—Hybrid genetic algorithms (GAs) for the graph partitioning problem are described. The algorithms include a fast local improvement heuristic. One of the novel features of these algorithms is the schema preprocessing phase that improves GAs' space searching capability, which in turn improves the performance of GAs. Experimental tests on graph problems with published solutions showed that the new genetic algorithms performed comparable to or better than the multistart Kernighan-Lin algorithm and the simulated annealing algorithm. Analyses of some special classes of graphs are also provided showing the usefulness of schema preprocessing and supporting the experimental results.

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Index Terms:
Genetic algorithm, graph bisection, graph partitioning, hybrid genetic algorithm, hyperplane synthesis, multiway partitioning, schema preprocessing.
Citation:
Thang Nguyen Bui, Byung Ro Moon, "Genetic Algorithm and Graph Partitioning," IEEE Transactions on Computers, vol. 45, no. 7, pp. 841-855, July 1996, doi:10.1109/12.508322
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