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Home Page: https://hugofara.github.io/leggedsnake/
License: MIT License
Leg mechanisms optimization using Python and genetic algorithms.
Home Page: https://hugofara.github.io/leggedsnake/
License: MIT License
leggedsnake is a kind of a "toy project" even if it was intended to be useful I believe 99.5% of users are not researchers in automation. A website would allow a better "plug and play" than the present Python module.
Code vulnerabilities have to be evaluated first.
Most dependencies are two-years old and should be updated!
Showing all the competitors in a generation can be a great way to gamify the module and to clearly show the results. Some inspiration can be taken from evolution by keiwan.
The way things are built (each walker has it's own simulation world), that can be a bit tough but that is worth trying.
The evolutionary optimization is slow because each evaluation is the dynamic evaluation of a system. To makes things faster, multi threading the evaluation function is an alternative, however pymunk does not support more than two threads.
This is why running several evaluations of dynamic linkages would be an asset.
Current system for saving data is obsolete. Saving data as plain text is memory efficient but it interfaces poorly with other systems.
Saving data as json would make things more human-readable for systems with a lot of dimensions.
Compared to other formats as csv, json would provided a clear hierarchy "Turn" → "Indivial" → "Score", "Dimensions".
Several reasons for this change suggestion:
Should not be too hard to do.
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