An evolutionary algorithm for network topology design

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. In this paper, we present an approach based on Simulated Evolution (SE) algorithm for design of campus network topology. Three variations of the algorithm have been presented and compared together. Results show that the third variation, namely, Simulated Evolution with Tabu Search characteristics gives best result.