(2001) An Evolutionary Algorithm for Network Topology Design. In: International Joint INNS-IEEE Conference on Neural Networks, Washington D.C, USA.
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Abstract
The topology design of campus networks is a hard constrained combinatorial optimization problem, dictated by physical and technological constraints and must optimize several objectives. Furthermore, due to the non-deterministic nature of network traffic and otehr design parameters, the objective criteria are imprecise. Fuzzy Logic provides a suitable mathematical framework in such a situation. In this paper we present an approach based on Simulated Evolution (SE) algorithm for design of campus network toppology. Three variations of the algorithm have been presented and campared together. Results show that the third variation, namely, Simulated Evolution with Tabu Search characterirstic gives best result.
Item Type: | Conference or Workshop Item (Other) |
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Subjects: | Computer |
Department: | College of Computing and Mathematics > Computer Engineering |
Depositing User: | AbdulRahman |
Date Deposited: | 25 Feb 2008 12:01 |
Last Modified: | 01 Nov 2019 13:22 |
URI: | http://eprints.kfupm.edu.sa/id/eprint/112 |