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RMFS Order Allocation and Robot Scheduling on Synth-Large synthetic (test)

2,160.47Objective ValueSOAR
2,056.4722,758.45853,460.4454,162.4315May 5, 2026

Evaluation results

MethodLinks
SOARMethod Type=Joint Optimization2026.052,160.47362.0839.6
OR Tools+TSPAllocation Heuristic=OR Tools, Scheduling Strategy=TSP2026.052,446.59547.915
SABSMethod Type=Joint Optimization2026.052,614.15705.1720
WLB+TSPAllocation Heuristic=WLB, Scheduling Strategy=TSP2026.052,761.08852.327.88
WLB+PSMDRLAllocation Heuristic=WLB, Scheduling Strategy=PSMDRL2026.052,856.74827.117.02
WLB+NearestAllocation Heuristic=WLB, Scheduling Strategy=Nearest2026.052,918.21816.413.62
OR Tools+EarliestAllocation Heuristic=OR Tools, Scheduling Strategy=Earliest2026.053,004.79780.0915
JOTPMethod Type=Joint Optimization2026.053,124.54829.38.01
SQF+PSMDRLAllocation Heuristic=SQF, Scheduling Strategy=PSMDRL2026.053,374.01947.5216.72
WLB+EarliestAllocation Heuristic=WLB, Scheduling Strategy=Earliest2026.053,510.61,140.824.26
SQF+TSPAllocation Heuristic=SQF, Scheduling Strategy=TSP2026.053,684.721,261.733.61
OR Tools+NearestAllocation Heuristic=OR Tools, Scheduling Strategy=Nearest2026.053,686.29904.3217
SQF+EarliestAllocation Heuristic=SQF, Scheduling Strategy=Earliest2026.054,617.981,633.912.68
SQF+NearestAllocation Heuristic=SQF, Scheduling Strategy=Nearest2026.054,760.421,643.872.5