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Thank you for sharing your project..may I ask if you solve the flexible Jobshop scheduling with the PSO algorithm??
you already used PSO for cloud scheduling but what about fjsp?
DrNTH updated
1 month ago
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see #3845, and companion to #4229
The following are the convergence warnings with discrete models, in base and discrete unit tests.
from https://travis-ci.org/statsmodels/statsmodels/jobs/3334451…
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Evaluating the solution of an optimization procedure using
```julia
discretization = PhysicsInformedNN(chain, QuadratureTraining())
prob = discretize(system, discretization)
result = Optimiza…
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When there is a lot of steps recorded, tensorboard uses discretization for optimization. It is unexpected loss of information, but it's fine. However, when using EMA smoothing, differently discretized…
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Hi @yilundu, @vacancy,
Thank you very much for releasing the code!
I quickly tested the code and have a couple of questions:
1. `[Discrete data]`: Could you please clarify the definition …
Aku02 updated
2 months ago
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Hi! I have a quick question regarding the future prospects for the package.
A common use case for optimization is to have a dataset that fully contains your set of choices, as opposed to an analyt…
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- Image Processing
- Machine Learning/ Deep Learning
- Discrete Optimization (Integer Programming)
- Linear/ Nonlinear Optimization
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In this issue I will show the progress of adding support for continuous parameter ranges in the search-space.
For most optimization algorithms it should be easy to add support for continuous parame…
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Dima:
* Numerical Optimization section should be split into parts. It's a weird mix of discrete optimization (Knapsack)--- out of place there, as it's not "numerical", but discrete, with numerical …
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This is just a partial task list to keep track of a few items
e.g. changes in optimization
- changes and improvements in GLM.fit
I never ran example for this #4001 for method in IRLS, #3646,…