48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
from pipeline import Pipeline
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from algorithm.neat import *
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from problem.func_fit import XOR3d
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from utils.activation import ACT_ALL, Act
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if __name__ == '__main__':
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pipeline = Pipeline(
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seed=0,
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algorithm=NEAT(
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species=DefaultSpecies(
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genome=RecurrentGenome(
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num_inputs=3,
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num_outputs=1,
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max_nodes=50,
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max_conns=100,
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activate_time=5,
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node_gene=DefaultNodeGene(
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activation_options=ACT_ALL,
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activation_replace_rate=0.2
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),
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output_transform=Act.sigmoid
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),
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pop_size=10000,
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species_size=10,
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compatibility_threshold=3.5,
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survival_threshold=0.03,
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),
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mutation=DefaultMutation(
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node_add=0.05,
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conn_add=0.2,
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node_delete=0,
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conn_delete=0,
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)
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),
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problem=XOR3d(),
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generation_limit=10000,
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fitness_target=-1e-8
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)
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# initialize state
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state = pipeline.setup()
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# print(state)
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# run until terminate
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state, best = pipeline.auto_run(state)
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# show result
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pipeline.show(state, best)
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