Sensitivity Analysis
We report here three tests. The first test is performed to evaluate the relevance of the number of cyclists and the maximum number of iterations in the optimization process. Figure 4-a shows that the increase in the numbers of cyclists and maximum number of iterations has no significant influence on the reduction of the objective function. Only a combination of low numbers of cyclists and iterations resulted in poor results. As expected, Figure 4-b shows the increase of the number of objective function evaluations when both parameters are increased. Therefore, the algorithm reaches the best results after an extensive searching, but, as observed in Figure 3, with no significant changes. These results agree with the ones obtained previously, showing that GTA has a fast convergence to a feasible and high-quality solution.