Research map / Learning theory and algorithms / Combinatorial and search optimization
Resource-Constrained Scheduling for Maritime Traffic Management
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use combinatorial Benders cuts instead of classical Benders decomposition (ablation) | MTM scheduling · synthetic medium instance | bound convergence | Helped |
| combinatorial Benders (with optimality cuts and symmetry breaking) instead of CP on medium instances | MTM scheduling · synthetic medium instances | objective (total start time) | No clear effect |
| combinatorial Benders instead of CP on larger instances | MTM scheduling · synthetic large instances | objective (total start time): 10-15% improvement | Helped |
| reschedule vessels with halved zone capacity (0.5C) instead of unscheduled traffic | Singapore AIS traffic · busiest day 03/13 | max traffic intensity: 55.83 -> 34.84 | Helped |
| reschedule vessels with halved capacity instead of unscheduled traffic | Singapore AIS traffic · busiest day 03/13 | std dev of traffic intensity: 6.53 -> 1.57 | Helped |
| reduce zone capacities down to 0.6C | scheduling · Singapore AIS 55 days | average delay | No clear effect |
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