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Author SHA1 Message Date
Antoine
c6f39bfd6c docs: Update protocol docs and method selector improvements 
- SYS_12: Add extractor library updates
- SYS_15: Add method selector documentation updates
- method_selector.py: Minor improvements to method selection logic

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-07 19:10:45 -05:00
Antoine
6cf12d9344 feat: Add NN Quality Assessor with relative accuracy thresholds 
The Method Selector now uses relative accuracy thresholds to assess
NN suitability by comparing NN error to problem variability (CV ratio).

NNQualityAssessor features:
- Physics-based objective classification (linear, smooth, nonlinear, chaotic)
- CV ratio computation: nn_error / coefficient_of_variation
- Turbo suitability score based on relative thresholds
- Data collection from validation_report.json, turbo_report.json, and study.db

Quality thresholds by objective type:
- Linear (mass, volume): max 2% error, CV ratio < 0.5
- Smooth (frequency): max 5% error, CV ratio < 1.0
- Nonlinear (stress, stiffness): max 10% error, CV ratio < 2.0
- Chaotic (contact, buckling): max 20% error, CV ratio < 3.0

CLI output now includes:
- Per-objective NN quality table with error, CV, ratio, and quality indicator
- Turbo suitability and hybrid suitability percentages
- Warnings when NN error exceeds physics-based thresholds

Updated SYS_15_METHOD_SELECTOR.md to v2.0 with full NN Quality Assessment documentation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-07 06:38:25 -05:00
Antoine
3e9488d9f0 feat: Add Adaptive Method Selector for intelligent optimization strategy 
The AMS analyzes optimization problems and recommends the best method:
- ProblemProfiler: Static analysis of config (dimensions, objectives, constraints)
- EarlyMetricsCollector: Dynamic analysis from FEA trials (smoothness, correlations)
- AdaptiveMethodSelector: Rule-based scoring for method recommendations
- RuntimeAdvisor: Mid-run monitoring for method pivots

Key features:
- Analyzes problem characteristics (n_variables, n_objectives, constraints)
- Computes response smoothness and variable sensitivity from trial data
- Recommends TURBO, HYBRID_LOOP, PURE_FEA, or GNN_FIELD
- Provides confidence scores and suggested parameters
- CLI: python -m optimization_engine.method_selector <config> [db]

Documentation:
- Add SYS_15_METHOD_SELECTOR.md protocol
- Update CLAUDE.md with new system protocol reference

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-07 05:51:49 -05:00