Comments (5)
Hello,
Thanks for your interest in the package. Currently, I do not yet support JuMP 0.19, which is what is causing your issue. If you are ok using an older JuMP version, you can do:
using Pkg
Pkg.pin(PackageSpec(name = "JuMP", version = "0.18.5"))
using Plasmo
This will set your environment to the supported JuMP version. I am currently working on upgrading Plasmo to the new JuMP version. I'm hoping to have it ready next week.
from plasmo.jl.
Thanks for your prompt reply. That sounds good I will keep an eye out for that update. I am interested in using your package for scalable solutions to energy system problems.
from plasmo.jl.
Were you ever able to update this package to JuMP 0.19?
from plasmo.jl.
Take a look at ModelGraphs.jl. Plasmo.jl is going to be split into different sub-packages and this one will do the algebraic modeling. It currently works with JuMP v0.19 and some distributed solver interfaces are on the way. I don't have any documentation yet, but take a look at the examples folder. There have also been some new features added I just haven't documented yet.
from plasmo.jl.
The latest Plasmo version v0.3.0 now supports JuMP 0.19 and later. Adding Plasmo.jl to a project should also now pull v0.3.0 which should fix the issue you were having.
from plasmo.jl.
Related Issues (20)
- How to insyall Plasmo in julia v0.6.4 HOT 2
- Using a solver other than Ipopt HOT 2
- Adding variables or objective to overall `OptiGraph` object HOT 1
- Docs link in Readme still points to Zavalalab HOT 1
- Modeling with many optinodes does not scale HOT 1
- `aggregate` throws an error for some OptiGraphs when `max_depth` > 0 HOT 1
- Optigraph set_objective is too slow HOT 1
- Quadratic objectives with variables on separate nodes is not supported HOT 1
- Calling `optimize!` on an expanded subgraph resets the solution of a different subgraph HOT 2
- `dual(subgraph, link_ref)` does not work like `value(subgraph, var_ref)` HOT 1
- `unset_binary` function does not work after `optimize!` is called HOT 1
- Retrieving callback data for lazy constraints fails HOT 5
- Does Plasmo.jl decompose solving process? HOT 2
- `dual` does not work on linkconstraints set after `optimize!` is called HOT 2
- Adding nodes to a subgraph after the main graph's backend is initialized does not reset graph backend HOT 1
- Setting `Max` instead of `Min` in objective makes `objective_value` negative HOT 2
- append_to_backend accesses private methods from MOI.Utilities HOT 3
- Can Plasmo be used for nested decomposition (in principle, at least)? HOT 4
- Aggregated graph backend does not update variables correctly HOT 1
- Set model does not update object data in v0.6
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from plasmo.jl.