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JuDGE stands for: Julia Decomposition for Generalized Expansion. Functionally, it is a solver which leverages the syntax of the JuMP modelling language to solve complex multi-stage (and multi-horizon) capacity expansion problems.
JuDGE supports generalized set partitioning problems. This, however, is experimental.
Please see the documentation for details about installing JuDGE.jl, and examples showing how to set up a stochastic capacity example model using the JuDGE.jl package.
For more details see our working paper: JuDGE.jl: a Julia package for optimizing capacity expansion.