Comments (1)
Hello @qwertyuu, it is nice to hear that my library was helpful for your project. It gives me further incentives to continue my work on this library.
The NEAT algorithm is genetic algorithm trying to mimic natural evolution process. So, it is natural that genome can have some parts which seems non functional at given epoch of evolution. However, we should take in mind that as in natural evolution, the dormant parts of genome can express some beneficial features at later epochs.
Thus, I think it can be beneficial to introduce some kind of genome pruning for organisms that you don't want to evolve any further. However, while evolution still in progress this can be harmful.
Thank you for nice input. I'll keep it on my to-do list for the future versions.
from goneat.
Related Issues (20)
- Implement dump to the Numpy format statistics collected by experiment executor (https://github.com/sbinet/npyio)
- Implement SIGTERM support for experiment runner
- We need to extract Mutator and Reproducer.
- Change logger
- Update Makefile to provide experiment run targets
- Explore possibilities of saving genomes into directed graphs
- How would one go about supporting recurrent graphs? HOT 1
- More details on traits HOT 1
- Keep champions between generations HOT 2
- Automatically tune compatibility threshold for species when training HOT 8
- Update GenerationEvaluator to take context.Context as parameter HOT 1
- Remove nodes and links during mutations HOT 3
- Update experiment executor library to include standard utility to create output directory with backup
- Update experiment executor library to provide utility for saving experiment results
- NewPopulationRandom does not assign random configured activatiors HOT 3
- Random genomes and add link mutations will link output nodes to other nodes HOT 6
- Style not rendering from formats generated cytoscape json data. HOT 6
- How to set up start genomes?
- Log levels do not work properly HOT 1
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from goneat.