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Routing in mobile networks is a multiobjective
optimization problem. The problem needs to consider multiple
objectives simultaneously such as Quality of Service
parameters, delay and cost. This paper uses the NSGAII
multiobjectve genetic algorithm to solve the dynamic shortest
path routing problem in mobile networks and proposes a
framework for realtime software implementation.
Simulations confirm a good quality of solution (route
optimality) and a high rate of convergence.
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