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. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Šilc, J., Korošec, P., & Robič, B. (2004). Combining vector quantization and ant-colony algorithm for mesh-partitioning. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 113–118. https://doi.org/10.1007/978-3-540-24669-5_15
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