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Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
Solving Very Large Traveling Salesman Problems by SOM Parallelization on Cluster Architectures
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
Hannes Schabauer, University of Vienna, Austria
Erich Schikuta, University of Vienna, Austria
Thomas Weishaupl, University of Vienna, Austria
This paper describes how to solve very large Traveling- Salesman Problems heuristically by the parallelization of self-organizing maps on cluster architectures. The used way of parallelizing is a sophisticated Structural Data Parallel approach based on the SPMD model. We distinguish between a non-sophisticated and a sophisticated approach for efficient and simple parallelization of the SOMs.
Citation:
Hannes Schabauer, Erich Schikuta, Thomas Weishaupl, "Solving Very Large Traveling Salesman Problems by SOM Parallelization on Cluster Architectures," pdcat, pp.954-958, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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