https://github.com/javierbarbero/DataEnvelopmentAnalysis.jl
Tip revision: 3259407b1fa597becb11644b14cd21d3b1cc57a3 authored by Javier Barbero on 28 March 2022, 13:19:02 UTC
Version 0.7.3
Version 0.7.3
Tip revision: 3259407
optimizer.jl
# This file contains functions for the DEA optimizers
"""
AbstractDEAOptimizer
An abstract type representing a DEA optimizer.
"""
abstract type AbstractDEAOptimizerModel end
"""
DEAOptimizer(optimizer; time_limit, silent)
An data structure storing the configuration of a DEA optimizer.
# Optimizer specification:
- `LP`: linear programming default optimizer, GLPK.
- `NLP`: nonlinear programmin default optimizer, Ipopt.
- Any JuMP supported solver.
# Optional Arguments
- `time_limit=:60`: time limit in seconds.
- `silent=true`: suppress optimizer output.
"""
struct DEAOptimizer <: AbstractDEAOptimizerModel
optimizer
time_limit::Float64
silent::Bool
function DEAOptimizer(optimizer; time_limit = 60, silent = true)
if optimizer == :LP
optimizer = GLPK.Optimizer
elseif optimizer == :NLP
optimizer = Ipopt.Optimizer
end
new(optimizer, time_limit, silent)
end
end
"""
newdeamodel(DEAOptimizer)
Generate a new JuMP model for DEA with the specified optimizer.
This function is used internally and for packages that want to extend the functionality of this package.
"""
function newdeamodel(deaoptimizer::DEAOptimizer)::Model
deamodel = Model(deaoptimizer.optimizer)
set_time_limit_sec(deamodel, deaoptimizer.time_limit)
if deaoptimizer.silent
set_silent(deamodel)
end
return deamodel
end