Learning Algorithm for the Uniform Graph Partitioning Problem
C. B. Chua and
Kan Chen
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C. B. Chua: Department of Computational Science, Faculty of Science, National University of Singapore, Republic of Singapore 119260, Singapore
Kan Chen: Department of Computational Science, Faculty of Science, National University of Singapore, Republic of Singapore 119260, Singapore
International Journal of Modern Physics C (IJMPC), 1998, vol. 09, issue 02, 331-339
Abstract:
We study the uniform graph partitioning problem using the learning algorithm proposed by one of us. We discuss the characteristics of the learning algorithm and compare the performance of the algorithm empirically with the Kernighan–Lin algorithm on a range of instances. Even with a simple implementation, the learning algorithm is capable of producing very good results.
Keywords: Learning Algorithm; Genetic Algorithm; Graph Partitioning Problem; Optimization (search for similar items in EconPapers)
Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:09:y:1998:i:02:n:s012918319800025x
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DOI: 10.1142/S012918319800025X
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