9bbe253810
- CMakeLists.txt with libtorch, GoogleTest, GoogleBenchmark, OpenMP, pybind11 - Header files: config, controller, population, fitness, evolution, spectral, oscillation, telemetry, optimizer - Source implementations: controller (full micro-MLP forward pass, mutation, crossover), fitness (Welford's algorithm), oscillation (DFT), spectral (SVD rank), optimizer (sign-SGD stub) - Tests: controller, population, fitness, optimizer (Google Test) - Benchmarks: evolve throughput, optimizer step (Google Benchmark) - Examples: simple optimization, PyTorch/libtorch integration - Python extension: pybind11 bindings with setup.py - README with architecture diagram and build instructions
55 lines
1.3 KiB
C++
55 lines
1.3 KiB
C++
#pragma once
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/**
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* @file evolution.hpp
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* @brief EvolutionManager — orchestrates population dynamics.
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*
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* Port of: packages/fces/core/evolution_manager.py
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*/
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#include "population.hpp"
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namespace fces {
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/**
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* EvolutionManager — controls the scheduling of evolutionary operations.
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*
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* Responsibilities:
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* - Controller rotation (sticky selection with interval)
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* - Population dynamics (auto-sizing, lockdown)
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* - Triggering evolution at intervals
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*/
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class EvolutionManager {
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public:
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explicit EvolutionManager(
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Population& population,
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int selection_interval = 50,
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bool auto_population = false,
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bool direct_construction = false
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);
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/// Get the currently active controller
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FuzzyController& get_active_controller();
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/// Update population dynamics based on current training state
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void update_population_dynamics(
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float loss_velocity,
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float ema_loss,
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int step_counter,
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int total_steps
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);
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/// Steps the active controller has been in control
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int steps_active = 0;
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/// Selection interval (how long a controller stays active)
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int selection_interval;
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private:
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Population& population_;
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bool auto_population_;
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bool direct_construction_;
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};
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} // namespace fces
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