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faber_neuroevolution

1.2.4
1.2.4 1.2.3 1.2.2 1.2.1 1.2.0 1.1.0 1.0.0 0.1.0

Population-based evolutionary training with NEAT topology evolution

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faber_neuroevolution guides silos assets task-silo-dataflow.svg
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guides/silos/assets/task-silo-dataflow.svg 

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  <!-- Title -->

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  <text x="55" y="115" font-family="Arial, sans-serif" font-size="11" fill="#5b21b6">Populations</text>

  <text x="55" y="135" font-family="Arial, sans-serif" font-size="11" fill="#5b21b6">Fitness Evaluation</text>

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    <tspan font-weight="bold">1.</tspan> Engine completes generation, sends Stats (best_fitness, improvement, total_evaluations)

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    <tspan font-weight="bold">2.</tspan> Task Silo updates velocity_state, computes stagnation_severity

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    <tspan font-weight="bold">3.</tspan> L1 applies tactical boosts (exploration/exploitation), L2 provides guidance

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    <tspan font-weight="bold">4.</tspan> Cross-silo signals received (resource pressure, distribution diversity)

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    <tspan font-weight="bold">5.</tspan> Recommendations computed (mutation_rate, add_node_rate, etc.)

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    <tspan font-weight="bold">6.</tspan> Engine applies hyperparameters to next generation

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