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16th Annual International Symposium on High Performance Computing Systems and Applications
Using Spare Network Computing Power for Genetic Algorithm Problems
Moncton, NB, Canada
June 16-June 19
ISBN: 0-7695-1626-2
ASCII Text
x 
 
Andrew Hamilton-Wright, Deborah Stacey, "Using Spare Network Computing Power for Genetic Algorithm Problems," High Performance Computing Systems and Applications, Annual International Symposium on, pp. 243, 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002.
 
 
BibTex
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@article{ 10.1109/HPCSA.2002.1019163,
author = {Andrew Hamilton-Wright and Deborah Stacey},
title = {Using Spare Network Computing Power for Genetic Algorithm Problems},
journal ={High Performance Computing Systems and Applications, Annual International Symposium on},
volume = {0},
year = {2002},
isbn = {0-7695-1626-2},
pages = {243},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPCSA.2002.1019163},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - High Performance Computing Systems and Applications, Annual International Symposium on
TI - Using Spare Network Computing Power for Genetic Algorithm Problems
SN - 0-7695-1626-2
SP
EP
A1 - Andrew Hamilton-Wright,
A1 - Deborah Stacey,
PY - 2002
VL - 0
JA - High Performance Computing Systems and Applications, Annual International Symposium on
ER -
 
Andrew Hamilton-Wright, University of Waterloo
Deborah Stacey, University of Guelph

Traditional network design incorporates a failure-recovery model in order to allow calculation of problems independent of knowledge of the network tool layer.

This paper explores the possibilities of improving the calculation throughput by constructing a tool for the specific solution of problems which have an inherent ability to deal with partial calculation failure.

Using a modified Genetic Algorithm as the client tool, the amount of information the network layer needs to have is brought to an extremely minimal level; this allows for a large scalability factor of the tool due to the reduction of network management tables.

Citation:
Andrew Hamilton-Wright, Deborah Stacey, "Using Spare Network Computing Power for Genetic Algorithm Problems," hpcs, pp.243, 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002
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