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Using spare network computing power for genetic algorithm problems

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2 Author(s)
Hamilton-Wright, A. ; Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada ; Stacey, D.

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.

Published in:

High Performance Computing Systems and Applications, 2002. Proceedings. 16th Annual International Symposium on

Date of Conference:

2002