"""
Farnsworth Evolution Module
Genetic optimization for self-improvement with:
- NSGA-II multi-objective optimization
- Behavioral genome encoding for swarm evolution
- LoRA adapter breeding and merging
- Hash-chain evolution logging for integrity
- Federated population evolution across P2P (AGI Cohesion)
- Quantum-enhanced evolution via IBM Quantum (AGI v1.8)
"""
from farnsworth.evolution.genetic_optimizer import GeneticOptimizer
from farnsworth.evolution.lora_evolver import LoRAEvolver
from farnsworth.evolution.behavior_mutation import BehaviorMutator
from farnsworth.evolution.fitness_tracker import FitnessTracker
from farnsworth.evolution.federated_population import (
FederatedPopulationManager,
FederatedEvolutionConfig,
setup_federated_evolution,
)
from farnsworth.evolution.quantum_evolution import (
QuantumEvolutionEngine,
get_quantum_evolution_engine,
quantum_evolve_agent_params,
)
__all__ = [
"GeneticOptimizer",
"LoRAEvolver",
"BehaviorMutator",
"FitnessTracker",
"FederatedPopulationManager",
"FederatedEvolutionConfig",
"setup_federated_evolution",
"QuantumEvolutionEngine",
"get_quantum_evolution_engine",
"quantum_evolve_agent_params",
]
