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Hi just want to explore the possibility of integrating the PyGAD GA to optimise the model. If you have any chance working on PyGAD, would you mind to guide on how to insert into the current code. Than…
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At the moment `from pygad import GA` causes matplotlib to be imported. Matplotlib is quite a heavy import that I'd rather avoid if possible when running some code in a limited environment.
Would yo…
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hi @ahmedfgad assalamualaikum
thank you for sharing this work.
i tried to test pygad torch_ga for MNIST datasets.
but the results is not good. THe accuracy is very poor
i have tried to changed…
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pygad has no capability currently to make unique points (and devs do not agree their definition of uniqueness is stupid).
So maybe it is interesting to investigate if we can just replace pygad by DEA…
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Salam Ahmed. Can I implement the PyGAD framework on Nvidia GPU instead of CPU using RAPIDA, numba and CUDA? If not, do you know of a genetic algorithm library in Python that can be implemented on GPU?…
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This package is very useful and I think it should be available on the conda distribution as well. Please let me know if you need any help with this issue. I really want to see this package on conda di…
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When I load a previously saved instance of the genetic algorithm with `ga_instance = pygad.load(filename=filename)` the loaded instance has only the best solution as parent and not the selected number…
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Hello,
I am using PyGAD version: 3.3.1 on Windows with python 3.10 within jupyter notebook.
When I run my GA, I am getting the following user warning. This is not something I am setting. It seems …
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Dear repository owner(s),
Will PyGAD support multi-objective optimization capabilities in the future? If not, how should I continue using PyGAD if I would like to transition from a single- to a mul…
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- Assume an input of an array of random binary digits.
- Invoke a genetic algorithm upon it including the processes of crossing over and mutation, using a fitness function (preferably Shannon entrop…