Modeling data-driven adaptive distributionally robust equilibrium last mile relief network under centrality metric

Applied Mathematical Modelling(2023)

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摘要
•An original centrality metric objective function for the LMRNP is introduced.•A new data-driven adaptive distributionally robust equilibrium programming method.•The DBSCAN algorithm is newly adopted to construct a data-driven ambiguity set.•The proposed model is theoretically derived into a computationally solvable form.•The performance of the deduced model is validated by two real data sets.
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关键词
Last mile relief network,Data-driven adaptive distributionally robust equilibrium programming,DBSCAN algorithm,Centrality metric objective,Random fuzzy variable
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