GeneticAlgorithmPython
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Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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...
While using multiprocessing for my task my program gets the exception after some generations. Sometimes it works fine for all generations and stops working abruptly and generates "NoneType object is...
Is it possible to use PyGAD's GPU acceleration to run a genetic algorithm as opposed to using numpy?
I see the possibility of using GAs with torchGA to optimize neural networks using genetic algorithms, but is it possible to use Pytorch instead of numpy arrays to speed up...
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...
I am trying to use PyGAD to optimize hyper-parameters in ML models. According to documentation > The gene_space parameter customizes the space of values of each gene ... list, tuple,...
In the event where multiple best solutions happen to have the same best fitness value, then best_solution() returns the first generation it finds with that same high fitness value. That...
I am optimizing a function with 3 parameters according to experimental data. I defined a value space for the 3 genes: `gene_space=[np.linspace(0.6,0.8,100), np.linspace(0.1,0.2,100),np.linspace(34,35,1000)]` and this is my general configuration: `ga_instance...
Is there a parameter or whatever it is for showing output for every step in process of GA?
Hello and thank you for building PyGAD! It is an awesome module. I am attempting to load a model checkpoint simply to export the plots. The issue I am running...
When i trying save GA instance, a got error from pickle ` TypeError: cannot pickle 'Clock' object ` Whats worng?