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RMFS Order Allocation and Robot Scheduling on Real-World Medium (test)

653.41Objective ValueSOAR
639.8024731.6537823.505915.3563May 5, 2026

Evaluation results

MethodLinks
SOARMethod Type=Joint Optimization2026.05653.41217.028.51
OR Tools+TSPAllocation Heuristic=OR Tools, Scheduling Strategy=TSP2026.05735.52271.473
WLB+NearestAllocation Heuristic=WLB, Scheduling Strategy=Nearest2026.05743.77258.551.44
OR Tools+NearestAllocation Heuristic=OR Tools, Scheduling Strategy=Nearest2026.05761.74281.983
WLB+TSPAllocation Heuristic=WLB, Scheduling Strategy=TSP2026.05770.33275.026.57
OR Tools+EarliestAllocation Heuristic=OR Tools, Scheduling Strategy=Earliest2026.05786.61310.633
SABSMethod Type=Joint Optimization2026.05792.42268.374
WLB+PSMDRLAllocation Heuristic=WLB, Scheduling Strategy=PSMDRL2026.05811.5319.334.15
JOTPMethod Type=Joint Optimization2026.05812.89270.882.01
WLB+EarliestAllocation Heuristic=WLB, Scheduling Strategy=Earliest2026.05892.97330.771.29
SQF+PSMDRLAllocation Heuristic=SQF, Scheduling Strategy=PSMDRL2026.05901.6365.285.68
SQF+TSPAllocation Heuristic=SQF, Scheduling Strategy=TSP2026.05955.79404.591.32
SQF+NearestAllocation Heuristic=SQF, Scheduling Strategy=Nearest2026.05966.22435.031.01
SQF+EarliestAllocation Heuristic=SQF, Scheduling Strategy=Earliest2026.05993.6424.710.99