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Something similar is already possible via the plotting options of PyGAD (plot_genes -> solutions="best"), which is also answering how wisely a user defined gene_space has been configured. Especially if one can see the full range of a gene (low -> high, #82 ).
With the feature to store seen solutions, another type of a single plot could be made by showing everything in one plot. Similar to the lowest plot in this example from matplotlib.
The idea would be to plot the genes to the x axis and to normalize each gene's range, so that certain genes will get brighter by their occurance during all generations related to their adjacent neighbours. It would look more linear (edgy), but I think this would be a great way to visualize what has been going on.
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Something similar is already possible via the plotting options of PyGAD (plot_genes -> solutions="best"), which is also answering how wisely a user defined gene_space has been configured. Especially if one can see the full range of a gene (low -> high, #82 ).
With the feature to store seen solutions, another type of a single plot could be made by showing everything in one plot. Similar to the lowest plot in this example from matplotlib.
The idea would be to plot the genes to the x axis and to normalize each gene's range, so that certain genes will get brighter by their occurance during all generations related to their adjacent neighbours. It would look more linear (edgy), but I think this would be a great way to visualize what has been going on.
It would be nice to hear other thoughts on this.
A good 2022 to everyone and kind regards..
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