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Resource-Constrained Scheduling for Maritime Traffic Management

AAAI 2018 · Learning theory and algorithms › Combinatorial and search optimization · approach: Decision-focused optimization · 15 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use combinatorial Benders cuts instead of classical Benders decomposition (ablation)MTM scheduling · synthetic medium instancebound convergenceHelped
combinatorial Benders (with optimality cuts and symmetry breaking) instead of CP on medium instancesMTM scheduling · synthetic medium instancesobjective (total start time)No clear effect
combinatorial Benders instead of CP on larger instancesMTM scheduling · synthetic large instancesobjective (total start time): 10-15% improvementHelped
reschedule vessels with halved zone capacity (0.5C) instead of unscheduled trafficSingapore AIS traffic · busiest day 03/13max traffic intensity: 55.83 -> 34.84Helped
reschedule vessels with halved capacity instead of unscheduled trafficSingapore AIS traffic · busiest day 03/13std dev of traffic intensity: 6.53 -> 1.57Helped
reduce zone capacities down to 0.6Cscheduling · Singapore AIS 55 daysaverage delayNo clear effect

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