Improving QoS in Vehicular ad-hoc Networks using a multi-objective optimization algorithm

This research proposes the use of the evolutionary algorithm NSGA II (Non-dominated Sorting Genetic Algorithm II) to optimize parameters in the MAC-layer in search of the best throughput, latency and packet loss values, in an urban scenario. This approach showed a 90% reduction in the time needed to find the best MAC-layer configurations for multi objective optimization of throughput, latency and packet loss, when comparing to an exhaustive search.