TNFR Self-Optimization Engine
Automatic network optimization using TNFR operators and physics. Based on nodal equation: ∂EPI/∂t = νf · ΔNFR(t)
Main Classes:
Usage:
from tnfr.engines.self_optimization import TNFRSelfOptimizingEngine
engine = TNFRSelfOptimizingEngine(network)
success, metrics = engine.step(node_id)"""TNFR Self-Optimization Engine
Automatic network optimization using TNFR operators and physics.
Based on nodal equation: ∂EPI/∂t = νf · ΔNFR(t)
Main Classes:
- TNFRSelfOptimizingEngine: Core optimization engine
Usage:
```python
from tnfr.engines.self_optimization import TNFRSelfOptimizingEngine
engine = TNFRSelfOptimizingEngine(network)
success, metrics = engine.step(node_id)
```
"""
from .engine import (
LearningStrategy,
OptimizationExperience,
OptimizationObjective,
OptimizationPolicy,
SelfOptimizationResult,
TNFRSelfOptimizingEngine,
auto_optimize_tnfr_computation,
create_self_optimizing_engine,
)
__all__ = [
"TNFRSelfOptimizingEngine",
"OptimizationObjective",
"LearningStrategy",
"OptimizationExperience",
"OptimizationPolicy",
"SelfOptimizationResult",
"create_self_optimizing_engine",
"auto_optimize_tnfr_computation",
]