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@yvanoers proposed changes to the job queue in #11, I reverted these changes in release 1.0.2 after some local testing as it results in longer solves and an incomplete pareto front. Should look into t…
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Hi,
This is Chakri, I want to use TPOT with MLFLOW to track the model and to log the parameters and dependencies. I was unable to do so and it would really help me if you could provide me with some …
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```
Printing pareto front forecast accuracy measures...
1.22419 2502238.17515
5.21267 20.55019
app_HFM: ../../src/OptFrame/Heuristics/ILS/MO/../../../Pareto.hpp:318: void optframe::Pareto::e…
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Hi, DTLZ7 does not implement the '`_calc_pareto_front`' method.
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The assumption appears in pareto_front.m, but not in eps_moea_optimize.m
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Could consider just returning what the evolutionary algorithm found at the end, rather than giving the "overallBests"? However, that doesn't help with the "checkedBest" situation.
Allow user to sp…
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It would be useful to have some more performance metrics for MO optimization.
For instance, some that are often used in MO papers are:
- [ ] Diversity of the non-dominated front
- [ ] Closeness…
Sceki updated
4 years ago
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Hi,
Thanks for making this package!
I am trying to understand the performance of my `rmoo` results. I know that vignettes are forthcoming on using `getFitness()`, `getMetrics()` and `summary()`.…
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Hello,
is there a possibility for multiobjective optimisation?
e.g.
```
def f(x):
return np.sin(x[0]*x[1]), np.sin((x[0]*x[1])**2) # pseudoexample
bounds = [{'name': f'var_x', 'type':…
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e.g. compute pareto front