Robust optimization strategy for real-time road repair after disaster under uncertain information
In view of the problem of emergency repair of damaged roads,this paper develops a multi-period optimization model of emergency repair to minimize the total cost of emergency repair.Moreover,by consid-ering the uncertainty of emergency repair time,a robust optimization model of emergency repair is established by using scenarios.In order to meet the prediction inaccuracy and dynamic variation of damage and emergency repair information,an efficient solution strategy is proposed based on multi-period rolling-horizon optimization method.Finally,from numerical experiments,we can find that the multi-period robust optimization emergency repair strategy can satisfy the uncertainty and real-time requirements of road repair after disaster.In addition,decision makers can select appropriate risk trade-off factors according to actual needs to realize the trade-off between solution robustness and model robustness.
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