Learned incentive functions plus bipartite matching allocate repair crews across damaged power and transportation networks, restoring power faster than random policies and small mixed-integer optimization baselines in simulation.
Resilient disaster recovery logistics of distribution systems: Co-optimize service restoration with repair crew and mobile power source dispatch,
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Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks
Learned incentive functions plus bipartite matching allocate repair crews across damaged power and transportation networks, restoring power faster than random policies and small mixed-integer optimization baselines in simulation.