(2001) An evolutionary algorithm for network topology design. Neural Networks, 2001. Proceedings. IJCNN '01. International Joint conference, 1.
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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 other design parameters, the objective criteria are imprecise. Fuzzy logic provides a suitable mathematical framework in such a situation. We present an approach based on a simulated evolution algorithm for design of a campus network topology. Three variations of the algorithm are presented and compared. Results show that the third variation, namely, simulated evolution with tabu search characteristics gives the best result
Item Type: | Article |
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Subjects: | Computer |
Department: | College of Computing and Mathematics > Computer Engineering |
Depositing User: | Mr. Admin Admin |
Date Deposited: | 24 Jun 2008 13:23 |
Last Modified: | 01 Nov 2019 14:04 |
URI: | http://eprints.kfupm.edu.sa/id/eprint/14115 |