ICNN-enhanced 2SP uses architecturally convex neural networks to enable exact LP embedding of recourse surrogates, replacing MIP formulations and yielding up to 100x speedups on benchmark problems.
Optimization of a Hydrogen Supply Chain Network Design under Demand Un- certainty by multi-objective Genetic Algorithms
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A systematic review concludes that single-train power optimizations are grid-blind and that future railway energy management must incorporate multi-train simulations and human-machine interfaces to protect network capacity.
citing papers explorer
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ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming
ICNN-enhanced 2SP uses architecturally convex neural networks to enable exact LP embedding of recourse surrogates, replacing MIP formulations and yielding up to 100x speedups on benchmark problems.
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Algorithmic Power Optimisation in Constrained Railway Networks: A Systematic Review
A systematic review concludes that single-train power optimizations are grid-blind and that future railway energy management must incorporate multi-train simulations and human-machine interfaces to protect network capacity.