ResearchBenchmarksElectric Online Vehicle Routing Problem with Loading (EOCVRPL) on Schneider Large InstancesFollow669.43Objective ValueAFL660.3304721.7527783.175844.5973Oct 19, 2025Evaluation ResultsMethodMethodLinksObjective ValueOptimality Gap (%)AFLT (Iterations)=10000,...T (Iterations)=10000, Time (m)=9.292025.10669.43-11.83AFLT (Iterations)=2000, T...T (Iterations)=2000, Time (m)=1.52025.10693.71-8.63AFLT (Iterations)=500, Ti...T (Iterations)=500, Time (m)=0.542025.10726.34-4.33ACOTime (m)=10.5Time (m)=10.52025.10759.240GreedyTime (m)=0.3Time (m)=0.32025.10896.9218.13