Graph‐based imitation and reinforcement learning for efficient Benders decomposition
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source
Enhancement of sandy soil water retention using superabsorbent carboxymethyl cellulose grafted with polyacrylamide and polyacrylamidomethyl propanesulfonic acid copolymer. [PDF]
Abdelgelil AA +4 more
europepmc +1 more source
First report of molecular detection and phylogenetic analysis of Toxoplasma Gondii in soil, water and vegetables from Chandigarh city, India. [PDF]
Rattan D +4 more
europepmc +1 more source
Estimation of the wetting induced settlement of loess soils from the wetting soil-water characteristic curve. [PDF]
Li C +9 more
europepmc +1 more source
Photosynthetic characteristics of Paris polyphylla var. chinensis in response to different light intensities and soil water contents. [PDF]
Zhang Y +7 more
europepmc +1 more source
Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
Divergent effects of straw and biochar single additions on soil water-heat-salt transport and corn productivity in arid salinized irrigation area. [PDF]
Yang W +7 more
europepmc +1 more source
Impact of modifiers on soil-water characteristics of graphite tailings. [PDF]
Du C, Lu X, Yi F.
europepmc +1 more source
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Recent advances in developing methods to solve the equations governing combined saturated‐unsaturated flow in two and three dimensions [Freeze, 1971; Stephenson and Freeze, 1974] have focused attention on the need to determine effective field values of the hydraulic properties of the soil.
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