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This commit is related to issue: https://github.com/EMI-Group/tensorneat/issues/11

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1. Add origin_node and origin_conn.
2. Change the behavior of crossover and mutation. Now, TensorNEAT will use all fix_attrs(include historical marker if it has one) as identifier for gene in crossover and distance calculation.
3. Other slightly change.
4. Add two related examples: xor_origin and hopper_origin
5. Add related test file.
This commit is contained in:
wls2002
2024-12-18 16:20:34 +08:00
parent e9a8110af5
commit ee1a2a8271
18 changed files with 667 additions and 204 deletions
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3
examples/func_fit/xor.py
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@@ -30,7 +30,8 @@ pipeline.show(state, best)
# visualize the best individual
network = algorithm.genome.network_dict(state, *best)
algorithm.genome.visualize(network, save_path="./imgs/xor_network.svg")
print(algorithm.genome.repr(state, *best))
# algorithm.genome.visualize(network, save_path="./imgs/xor_network.svg")
# transform the best individual to latex formula
from tensorneat.common.sympy_tools import to_latex_code, to_python_code