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Multi-Agent Route Planning on Barcelona scenarios

0.03Solver Time (s)Gurobi
-4212,420.95255,262.9058,104.8575Feb 8, 2026

Evaluation results

MethodLinks
Gurobin_veh=1002026.020.03-3,063.92—
Gurobin_veh=2002026.020.11-7,955.21—
Gurobin_veh=10002026.020.67-25,998.28—
Gurobin_veh=3002026.021.16-16,561.49—
Gurobin_veh=5002026.021.19-21,291.39—
Gurobin_veh=20002026.022.65-137,607.09—
QA (hybrid)n_veh=1002026.022.99—-3,063.92
QA (hybrid)n_veh=2002026.022.99—-7,955.21
QA (hybrid)n_veh=3002026.022.99—-16,561.49
QA (hybrid)n_veh=5002026.022.99—-21,291.39
QA (hybrid)n_veh=10002026.022.99—-25,998.28
Gurobin_veh=30002026.024.09-164,370.46—
QA (hybrid)n_veh=20002026.025.23—-137,607.09
SAn_veh=1002026.025.33—-3,063.92
QA (hybrid)n_veh=30002026.027.5—-164,370.46
Gurobin_veh=50002026.0211.19-172,311.08—
QA (hybrid)n_veh=50002026.0214.56—-172,311.08
Gurobin_veh=70002026.0217.44-703,609.94—
SAn_veh=2002026.0218.51—-7,934.99
QA (hybrid)n_veh=70002026.0224.69—-703,610.19
QA (hybrid)n_veh=100002026.0232.44—-985,012.34
Gurobin_veh=100002026.0235.12-985,012.34—
SAn_veh=3002026.0243.95—-15,957.58
SAn_veh=5002026.02187.7—-20,123.44
SAn_veh=10002026.021,364.9—-24,665.73
SAn_veh=20002026.023,728.31—-122,340.09
SAn_veh=30002026.0210,525.78—-148,763.32