NEOSServer.jl is a wrapper for the NEOS Server, a free internet-based service for solving numerical optimization problems.
See here for the full list of solvers and input formats that NEOS supports.
NEOSServer.jl is licensed under the MIT License.
Install NEOSServer.jl using the package manager:
import Pkg Pkg.add("NEOSServer")
The NEOS API
This package contains an interface for the NEOS XML-RPC API.
The following example shows how you can interact with the API. Wrapped XML-RPC functions begin with
neos_ and are exported.
using NEOSServer # Create a server. You must supply a valid email: server = NEOSServer.Server("email@example.com") # Print the NEOS welcome message: println(neos_welcome(server)) # Get an XML template: xml_string = neos_getSolverTemplate(server, "milp", "Cbc", "AMPL") # Modify template with problem data... # Submit the XML job to NEOS: job = neos_submitJob(server, xml_string) # Get the status of the Job from NEOS: status = neos_getJobStatus(server, job) # Get the final results: results = neos_getFinalResults(server, job)
Use with JuMP
Use NEOSServer.jl with JuMP as follows:
using JuMP, NEOSServer model = Model() do NEOSServer.Optimizer(email="firstname.lastname@example.org", solver="Ipopt") end
NEOSServer.Optimizer is limited to the following solvers:
NEOS currently limits jobs to an 8 hour time limit, 3 GB of memory, and a 16 MB submission file. If your model exceeds these limits, NEOSServer.jl may be unable to return useful information to the user.