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A decomposition strategy for decision problems with endogenous uncertainty using mixed-integer programming
Despite methodological advances for modeling decision problems under uncertainty, faithfully representing endogenous uncertainty still …
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Optimal transmission expansion planning in the context of renewable energy integration policies
In light of increasing pressure to curb greenhouse gas emissions, many countries have focused on the development of strategies that …
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A novel dual-decomposition method based on p-Lagrangian relaxation
In this paper, we propose the novel p-branch-and-bound method for solving two-stage stochastic programming problems whose deterministic …
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