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.
Repair and resource scheduling in unbalanced distribution systems using neighborhood search,
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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.