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.