# Trying variety of Solvers

**URL:** <https://discourse.julialang.org/t/trying-variety-of-solvers/43567>\
**Category:** Optimization (Mathematical)\
**Created:** [July 23, 2020, 5:07pm UTC](https://discourse.julialang.org/t/trying-variety-of-solvers/43567 "2020-07-23T17:07:45Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![hendri54](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/hendri54/32/9621_2.png) [@hendri54](https://discourse.julialang.org/u/hendri54)\
**Post date:** [July 24, 2020, 11:45am UTC](https://discourse.julialang.org/t/trying-variety-of-solvers/43567/3 "2020-07-24T11:45:31Z")

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Potentiallly useful:

> [@Latest recommendations for global optimization](https://discourse.julialang.org/t/latest-recommendations-for-global-optimization/17718):
>
> What are people’s recommendations for a global optimizer? I’m trying to do simulated method of moments (choosing a set of parameters for an economic model to minimise the distance between model predictions and data) and have so far been using blackboxoptim. I find it somewhat unreliable: running exactly the same code on the same data I find sometimes the optimizer gives me a parameter choice that provides a close fit to the data, but sometimes it just seems to get stuck without converging). Any …

… but, as nilshg pointed out: the question is a bit broad. Much depends on the optimization problem you are trying to solve.

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