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Multistart optimization methods in Julia.

Results 9 MultistartOptimization.jl issues
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I was wondering if anyone had a good example of parallelizing this?

Hi, I am trying to finish the local optimizers based on a time limit. I am using the following code: ``` local_method = MultistartOptimization.NLoptLocalMethod(NLopt.LN_BOBYQA; xtol_abs = 0.0, xtol_rel = 0.0,...

I'm getting memory issues on the HPC I use when I expand the number of Sobel points I use from e.g. 300 to 1000. Is there a reason why the...

It seems the trend is to use things like LabelledArrays.jl for parameter vectors so that you get both `x[i]` and `x.a` access to values, which makes writing the objective function...

After #20, this should be easy. Add examples for both.

Hi Tamás, Thank you for your package. I have a quick question. My objective function has a nested parallel for loop, something like ``` function objective(parameter) temp = Matrix(undef, row,...

Hi, Is there a way to set a tolerance level to the global minimizer?

Hi, I am using the `prepend_points` option to add a candidate for optimality of a previous run. ``` println("Model: Baseline") BEST_POINT= [2.0023715563522275, 0.47616619564356855, 4.0064103584405935, 9.991268276769539, 2.0070308283954614, 0.7000687884505741] P = MinimizationProblem(x...

Hey @tpapp, can we get a release with the v1 NLopt compat (it seems it was merged a year ago), this will help avoid some conflicts downstream (in Optimization.jl https://github.com/SciML/Optimization.jl/actions/runs/10943727135/job/30383889015?pr=819)....