Humanoid Graph-Based Resilience Optimization Model
This model optimizes network topology
for maximum resilience
using graph-based intelligence.
Objective
To prevent partitioning
and ensure high connectivity
under failure conditions.
Architecture
- Graph Embedding Layer
- Centrality Analysis Module
- Failure Impact Predictor
- Rerouting Optimization Engine
- Resilience Score Maximizer
Capabilities
- Connectivity risk prediction
- Critical node identification
- Adaptive rerouting strategy
- Partition avoidance
- Topology reinforcement
Operational Mode
- Topology ingestion
- Graph embedding generation
- Risk scoring
- Optimization output
Part of
Humanoid Network (HAN)
License
MIT
