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MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.

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Hello, I’m using MultiJuMP.jl and Juniper to solve an MINLP problem. It takes more than 2 hours to optimize the problem using one core. I wonder how can I accelerate...

As of this writing, 19 Feb 2022, the latest version of JuMP is v0.22.3. The current version of JuMP required by MultiJuMP conflicts with the more recent version of JuMP...

https://s3.amazonaws.com/julialang-reports/nanosoldier/pkgeval/by_hash/ff8b327_vs_29ea1fe/MultiJuMP.1.8.0-DEV-593ff735b36.log

Any reason why we hard-coded betatree range here? instead of making it configurable? maybe it can be something like `0.0:(1/mdata.pointsperdim):1.0`. https://github.com/anriseth/MultiJuMP.jl/blob/0921721035793896798b457ee184d4ffa0b4e867/src/linear.jl#L107-L109

Howdy, Tried to run the test programs to make sure that everything is good (I have upgraded all my packages) I keep getting seg faults when running any of the...

Fixes error message "ERROR: TypeError: in typeassert, expected MultiJuMP.MultiMethod, got Symbol".

Hello, Is it possible to set a time limit? In that case does it limit: - the generation of each point of the pareto front; - the generation of the...

Even though `@recipe function f(m::JuMP.Model)` is practical to have in some cases, it should not be there since we are hijacking the behaviour of JuMP.Model (type piracy)

```julia const exp_obj1 = @expression(mmodel, -y +0.05 * z) const exp_obj2 = @expression(mmodel, 0.05 * y - z) const obj1 = SingleObjective(exp_obj1) const obj2 = SingleObjective(exp_obj2) # setting objectives in...

Hello, How to get the solvertime of each computed point into generated pareto front set. PS: sing the weighted Sum method Thanks