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Combining Vector Quantization and Ant-Colony Algorithm for Mesh-Partitioning

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Book cover Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

We present heuristic mesh-partitioning method build on the ant-colony algorithm (ACA) in order to improve the quality of the mesh partitions. The method focuses on improving the initial partition that is submitted to the ACA. The method is experimentally compared with the well-known mesh-partitioning programs pMETIS 4.0 and Chaco 2.0.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Šilc, J., Korošec, P., Robič, B. (2004). Combining Vector Quantization and Ant-Colony Algorithm for Mesh-Partitioning. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_15

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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