Adaptive robust optimization with minimax regret criterion: Multiobjective optimization framework and computational algorithm for planning and scheduling under uncertainty
Abstract: Highlights•ARO framework that incorporates conventional robustness and minimax regret criteria.•Solution algorithms for bi-criterion multilevel mixed-integer programming problem.•Innovative applications on planning and scheduling under uncertainty.•Leveraging big data analytics for data-driven decision-making under uncertainty.
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