PySA.jl

PySA Simulated Annealing Interface for JuMP

julia> import Pkg; Pkg.add("PySA")

julia> using PySA

using JuMP
using PySA

model = Model(PySA.Optimizer)

n = 3
Q = [ -1  2  2
       2 -1  2
       2  2 -1 ]

@variable(model, x[1:n], Bin)
@objective(model, Min, x' * Q * x)

optimize!(model)

for i = 1:result_count(model)
    xi = value.(x; result = i)
    yi = objective_value(model; result = i)
    println("[$i] f($(xi)) = $(yi)")
end

Note: The PySA wrapper for Julia is not officially supported by the National Aeronautics and Space Administration. If you are interested in official support for Julia from NASA, let them know!

Note: If you are using PySA.jl in your project, we recommend you to include the .CondaPkg entry in your .gitignore file. The PythonCall module will place a lot of files in this folder when building its Python environment.