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Atomizer/optimization_engine
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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
..
custom_functions
feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis
2025-11-16 13:35:41 -05:00
extractors
feat: Add Phase 2 & 3 physics extractors for multi-physics optimization
2025-12-06 13:40:14 -05:00
future
refactor: Archive experimental LLM features for MVP stability (Phase 1.1)
2025-11-24 09:12:36 -05:00
hooks
feat: Add MLP surrogate with Turbo Mode for 100x faster optimization
2025-12-06 20:01:59 -05:00
plugins
feat: Add substudy system with live history tracking and workflow fixes
2025-11-16 21:29:54 -05:00
result_extractors
fix: Remove redundant save() call that overwrote NX expression updates
2025-11-17 21:24:02 -05:00
schemas
feat: Add configuration validation system for MVP stability (Phase 1.2)
2025-11-24 09:21:55 -05:00
utils
feat: Add Protocol 13 adaptive optimization, Plotly charts, and dashboard improvements
2025-12-04 07:41:54 -05:00
validators
feat: Add Protocol 13 adaptive optimization, Plotly charts, and dashboard improvements
2025-12-04 07:41:54 -05:00
__init__.py
Rebrand project from nx-optimaster to Atomizer
2025-11-15 08:05:19 -05:00
active_learning_surrogate.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
adaptive_characterization.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
adaptive_surrogate.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
auto_trainer.py
feat: Add neural loop automation - templates, auto-trainer, CLI
2025-11-26 07:53:00 -05:00
benchmarking_substudy.py
feat: Add centralized configuration system and Phase 3.2 enhancements
2025-11-17 14:36:00 -05:00
capability_matcher.py
feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis
2025-11-16 13:35:41 -05:00
codebase_analyzer.py
feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis
2025-11-16 13:35:41 -05:00
comprehensive_results_analyzer.py
feat: Add centralized configuration system and Phase 3.2 enhancements
2025-11-17 14:36:00 -05:00
config_manager.py
feat: Add configuration validation system for MVP stability (Phase 1.2)
2025-11-24 09:21:55 -05:00
export_expressions.py
feat: Add robust NX expression import system for all expression types
2025-11-17 12:34:06 -05:00
extractor_library.py
refactor: Implement centralized extractor library to eliminate code duplication
2025-11-18 09:00:10 -05:00
feature_registry.json
feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis
2025-11-16 13:35:41 -05:00
generate_history_from_trials.py
feat: Complete Phase 3.3 - Visualization & Model Cleanup System
2025-11-17 19:07:41 -05:00
generate_report_markdown.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
generate_report.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
hybrid_study_creator.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
import_expressions.py
fix: Remove redundant save() call that overwrote NX expression updates
2025-11-17 21:24:02 -05:00
intelligent_optimizer.py
feat: Implement Protocol 13 - Real-Time Dashboard Tracking
2025-11-21 15:58:00 -05:00
intelligent_setup.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
landscape_analyzer.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
logger.py
feat: Add structured logging system for production-ready error handling (Phase 1.3)
2025-11-24 09:27:27 -05:00
mesh_converter.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
method_selector.py
feat: Add Adaptive Method Selector for intelligent optimization strategy
2025-12-07 05:51:49 -05:00
model_cleanup.py
feat: Complete Phase 3.3 - Visualization & Model Cleanup System
2025-11-17 19:07:41 -05:00
neural_surrogate.py
feat: Add Protocol 13 adaptive optimization, Plotly charts, and dashboard improvements
2025-12-04 07:41:54 -05:00
nx_session_manager.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
nx_solver.py
feat: Add Protocol 13 adaptive optimization, Plotly charts, and dashboard improvements
2025-12-04 07:41:54 -05:00
nx_updater.py
refactor: Centralize NX and environment configuration in config.py
2025-11-17 14:31:33 -05:00
op2_extractor.py
fix: Remove arbitrary aspect ratio validation and add comprehensive pruning diagnostics
2025-11-20 20:25:33 -05:00
optimization_config_builder.py
feat: Add optimization configuration builder with multi-objective support
2025-11-15 13:56:41 +00:00
optimization_setup_wizard.py
feat: Add substudy system with live history tracking and workflow fixes
2025-11-16 21:29:54 -05:00
pruning_logger.py
fix: Remove arbitrary aspect ratio validation and add comprehensive pruning diagnostics
2025-11-20 20:25:33 -05:00
pynastran_research_agent.py
feat: Add substudy system with live history tracking and workflow fixes
2025-11-16 21:29:54 -05:00
realtime_tracking.py
refactor: Archive experimental LLM features for MVP stability (Phase 1.1)
2025-11-24 09:12:36 -05:00
research_agent.py
feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis
2025-11-16 13:35:41 -05:00
run_optimization.py
fix: Stop passing design_vars to simulation_runner to match working 50-trial workflow
2025-11-17 21:29:21 -05:00
runner_with_neural.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
runner.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
simple_mlp_surrogate.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
simulation_validator.py
fix: Remove arbitrary aspect ratio validation and add comprehensive pruning diagnostics
2025-11-20 20:25:33 -05:00
solve_simulation_simple.py
feat: Add centralized configuration system and Phase 3.2 enhancements
2025-11-17 14:36:00 -05:00
solve_simulation.py
feat: Add MLP surrogate with Turbo Mode for 100x faster optimization
2025-12-06 20:01:59 -05:00
step_classifier.py
feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis
2025-11-16 13:35:41 -05:00
strategy_portfolio.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
strategy_selector.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
study_continuation.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
study_creator.py
feat: Add centralized configuration system and Phase 3.2 enhancements
2025-11-17 14:36:00 -05:00
study_reset.py
feat: Add neural loop automation - templates, auto-trainer, CLI
2025-11-26 07:53:00 -05:00
study_wizard.py
feat: Add MLP surrogate with Turbo Mode for 100x faster optimization
2025-12-06 20:01:59 -05:00
surrogate_tuner.py
feat: Improve dashboard performance and Claude terminal context
2025-12-04 17:36:00 -05:00
targeted_research_planner.py
feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis
2025-11-16 13:35:41 -05:00
template_loader.py
feat: Add neural loop automation - templates, auto-trainer, CLI
2025-11-26 07:53:00 -05:00
training_data_exporter.py
feat: Major update with validators, skills, dashboard, and docs reorganization
2025-11-25 19:23:58 -05:00
visualizer.py
feat: Complete Phase 3.3 - Visualization & Model Cleanup System
2025-11-17 19:07:41 -05:00
workflow_decomposer.py
feat: Complete Phase 2.5-2.7 - Intelligent LLM-Powered Workflow Analysis
2025-11-16 13:35:41 -05:00