Commit Graph

27 Commits

Author SHA1 Message Date
9f3ac28000 feat: Add Canvas dark theme styling and Setup page integration
Canvas Builder Visual Updates:
- Update all Canvas components to use Atomaster dark theme
- BaseNode: dark background (bg-dark-800), white text, primary selection glow
- NodePalette: dark sidebar with hover states
- NodeConfigPanel: dark inputs, labels, and panel background
- ValidationPanel: semi-transparent error/warning panels with backdrop blur
- ChatPanel: dark message area with themed welcome state
- ExecuteDialog: dark modal with primary button styling
- ConfigImporter: dark tabs, inputs, and file upload zone
- TemplateSelector: dark cards with category pills and hover effects

Setup Page Integration:
- Add Configuration/Canvas Builder tab switcher
- Canvas tab renders AtomizerCanvas full-height
- Tabs styled to match Atomaster theme

Build: Passes TypeScript and Vite build

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-14 21:30:30 -05:00
92c82a5518 docs(canvas): Add comprehensive Canvas documentation
- Architecture overview and file structure
- Node types reference table
- Data flow diagram
- Usage instructions for building workflows
- Template and import documentation
- Intent JSON schema reference
- State management API
- Validation rules
- Chat integration details

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-14 20:42:48 -05:00
5bd142780f feat(canvas): Add Phase 3+4 - Bidirectional sync, templates, and visual polish
Phase 3 - Bidirectional Sync:
- Add loadFromIntent and loadFromConfig to canvas store
- Create useIntentParser hook for parsing Claude messages
- Create ConfigImporter component (file upload, paste JSON, load study)
- Add import/clear buttons to CanvasView header

Phase 4 - Templates & Polish:
- Create template library with 5 presets:
  - Mass Minimization (single-objective)
  - Multi-Objective Pareto (NSGA-II)
  - Turbo Mode (with MLP surrogate)
  - Mirror Zernike (optical optimization)
  - Frequency Optimization (modal)
- Create TemplateSelector component with category filters
- Enhanced BaseNode with animations, glow effects, status indicators
- Add colorBg to all node types for visual distinction
- Add notification toast system
- Update all exports

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-14 20:30:28 -05:00
1ae35382da feat: Phase 2 - LLM Integration for Canvas
- Add canvas.ts MCP tool with validate_canvas_intent, execute_canvas_intent, interpret_canvas_intent
- Add useCanvasChat.ts bridge hook connecting canvas to chat system
- Update context_builder.py with canvas tool instructions
- Add ExecuteDialog for study name input
- Add ChatPanel for canvas-integrated Claude responses
- Connect AtomizerCanvas to Claude via useCanvasChat

Canvas workflow now:
1. Build graph visually
2. Click Validate/Analyze/Execute
3. Claude processes intent via MCP tools
4. Response shown in integrated chat panel

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-14 20:18:46 -05:00
7919511bb2 feat: Phase 1 - Canvas with React Flow
- 8 node types (Model, Solver, DesignVar, Extractor, Objective, Constraint, Algorithm, Surrogate)
- Drag-drop from palette to canvas
- Node configuration panels
- Graph validation with error/warning display
- Intent JSON serialization
- Zustand state management

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-14 20:00:35 -05:00
73a7b9d9f1 feat: Add dashboard chat integration and MCP server
Major changes:
- Dashboard: WebSocket-based chat with session management
- Dashboard: New chat components (ChatPane, ChatInput, ModeToggle)
- Dashboard: Enhanced UI with parallel coordinates chart
- MCP Server: New atomizer-tools server for Claude integration
- Extractors: Enhanced Zernike OPD extractor
- Reports: Improved report generator

New studies (configs and scripts only):
- M1 Mirror: Cost reduction campaign studies
- Simple Beam, Simple Bracket, UAV Arm studies

Note: Large iteration data (2_iterations/, best_design_archive/)
excluded via .gitignore - kept on local Gitea only.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 15:53:55 -05:00
155e2a1b8e docs: Add OP_08 report generation and update protocol numbering
- Add OP_08 to cheatsheet task lookup table
- Create Report Generation section in cheatsheet
- Update SYS_16/17/18 numbering (SAT, Insights, Context)
- Create StatusBadge component for dashboard
- Create OP_08_GENERATE_REPORT.md protocol document

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-07 08:55:56 -05:00
773f8ff8af feat: Implement ACE Context Engineering framework (SYS_17)
Complete implementation of Agentic Context Engineering (ACE) framework:

Core modules (optimization_engine/context/):
- playbook.py: AtomizerPlaybook with helpful/harmful scoring
- reflector.py: AtomizerReflector for insight extraction
- session_state.py: Context isolation (exposed/isolated state)
- feedback_loop.py: Automated learning from trial results
- compaction.py: Long-session context management
- cache_monitor.py: KV-cache optimization tracking
- runner_integration.py: OptimizationRunner integration

Dashboard integration:
- context.py: 12 REST API endpoints for playbook management

Tests:
- test_context_engineering.py: 44 unit tests
- test_context_integration.py: 16 integration tests

Documentation:
- CONTEXT_ENGINEERING_REPORT.md: Comprehensive implementation report
- CONTEXT_ENGINEERING_API.md: Complete API reference
- SYS_17_CONTEXT_ENGINEERING.md: System protocol
- Updated cheatsheet with SYS_17 quick reference
- Enhanced bootstrap (00_BOOTSTRAP_V2.md)

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 20:21:20 -05:00
eabcc4c3ca refactor: Major reorganization of optimization_engine module structure
BREAKING CHANGE: Module paths have been reorganized for better maintainability.
Backwards compatibility aliases with deprecation warnings are provided.

New Structure:
- core/           - Optimization runners (runner, intelligent_optimizer, etc.)
- processors/     - Data processing
  - surrogates/   - Neural network surrogates
- nx/             - NX/Nastran integration (solver, updater, session_manager)
- study/          - Study management (creator, wizard, state, reset)
- reporting/      - Reports and analysis (visualizer, report_generator)
- config/         - Configuration management (manager, builder)
- utils/          - Utilities (logger, auto_doc, etc.)
- future/         - Research/experimental code

Migration:
- ~200 import changes across 125 files
- All __init__.py files use lazy loading to avoid circular imports
- Backwards compatibility layer supports old import paths with warnings
- All existing functionality preserved

To migrate existing code:
  OLD: from optimization_engine.nx_solver import NXSolver
  NEW: from optimization_engine.nx.solver import NXSolver

  OLD: from optimization_engine.runner import OptimizationRunner
  NEW: from optimization_engine.core.runner import OptimizationRunner

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 12:30:59 -05:00
f13563d7ab feat: Major update - Physics docs, Zernike OPD, insights, NX journals, tools
Documentation:
- Add docs/06_PHYSICS/ with Zernike fundamentals and OPD method docs
- Add docs/guides/CMA-ES_EXPLAINED.md optimization guide
- Update CLAUDE.md and ATOMIZER_CONTEXT.md with current architecture
- Update OP_01_CREATE_STUDY protocol

Planning:
- Add DYNAMIC_RESPONSE plans for random vibration/PSD support
- Add OPTIMIZATION_ENGINE_MIGRATION_PLAN for code reorganization

Insights System:
- Update design_space, modal_analysis, stress_field, thermal_field insights
- Improve error handling and data validation

NX Journals:
- Add analyze_wfe_zernike.py for Zernike WFE analysis
- Add capture_study_images.py for automated screenshots
- Add extract_expressions.py and introspect_part.py utilities
- Add user_generated_journals/journal_top_view_image_taking.py

Tests & Tools:
- Add comprehensive Zernike OPD test suite
- Add audit_v10 tests for WFE validation
- Add tools for Pareto graphs and mirror data extraction
- Add migrate_studies_to_topics.py utility

Knowledge Base:
- Initialize LAC (Learning Atomizer Core) with failure/success patterns

Dashboard:
- Update Setup.tsx and launch_dashboard.py
- Add restart-dev.bat helper script

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-23 19:47:37 -05:00
19b4ef3070 feat: Update live tracker Zernike to use OPD method with XYZ displacement views
- Replace Standard (Z-only) extraction with OPD method (X,Y,Z displacement)
- Add toggle buttons to switch between WFE, ΔX, ΔY, ΔZ views
- Show method comparison metrics (OPD vs Standard RMS difference)
- Display lateral displacement statistics (max/RMS)
- Fall back to Standard method if BDF geometry file not found
- Use ZernikeOPDExtractor for more accurate WFE computation (+8-11%)

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-22 21:28:16 -05:00
d19fc39a2a feat: Add OPD method support to Zernike visualization with Standard/OPD toggle
Major improvements to Zernike WFE visualization:

- Add ZernikeDashboardInsight: Unified dashboard with all orientations (40°, 60°, 90°)
  on one page with light theme and executive summary
- Add OPD method toggle: Switch between Standard (Z-only) and OPD (X,Y,Z) methods
  in ZernikeWFEInsight with interactive buttons
- Add lateral displacement maps: Visualize X,Y displacement for each orientation
- Add displacement component views: Toggle between WFE, ΔX, ΔY, ΔZ in relative views
- Add metrics comparison table showing both methods side-by-side

New extractors:
- extract_zernike_figure.py: ZernikeOPDExtractor using BDF geometry interpolation
- extract_zernike_opd.py: Parabola-based OPD with focal length

Key finding: OPD method gives 8-11% higher WFE values than Standard method
(more conservative/accurate for surfaces with lateral displacement under gravity)

Documentation updates:
- SYS_12: Added E22 ZernikeOPD as recommended method
- SYS_16: Added ZernikeDashboard, updated ZernikeWFE with OPD features
- Cheatsheet: Added Zernike method comparison table

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-22 21:03:19 -05:00
d089003ced feat: Add Insights tab to dashboard for physics visualizations
Dashboard integration for Study Insights module (SYS_16):
- Backend: New /api/insights/ routes for generating and viewing insights
- Frontend: New Insights.tsx page with Plotly visualization
- Navigation: Added Insights tab between Analysis and Results

Available insight types:
- Zernike WFE (wavefront error for mirrors)
- Stress Field (Von Mises stress contours)
- Modal Analysis (natural frequencies/mode shapes)
- Thermal Field (temperature distribution)
- Design Space (parameter-objective exploration)

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 13:28:51 -05:00
7c700c4606 feat: Dashboard improvements and configuration updates
Dashboard:
- Enhanced terminal components (ClaudeTerminal, GlobalClaudeTerminal)
- Improved MarkdownRenderer for better documentation display
- Updated convergence plots (ConvergencePlot, PlotlyConvergencePlot)
- Refined Home, Analysis, Dashboard, Setup, Results pages
- Added StudyContext improvements
- Updated vite.config for better dev experience

Configuration:
- Updated CLAUDE.md with latest instructions
- Enhanced launch_dashboard.py
- Updated config.py settings

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 13:47:05 -05:00
1612991d0d feat: Add Study Insights module (SYS_16) for physics visualizations
Introduces a new plugin architecture for study-specific physics
visualizations, separating "optimizer perspective" (Analysis) from
"engineer perspective" (Insights).

New module: optimization_engine/insights/
- base.py: StudyInsight base class, InsightConfig, InsightResult, registry
- zernike_wfe.py: Mirror WFE with 3D surface and Zernike decomposition
- stress_field.py: Von Mises stress contours with safety factors
- modal_analysis.py: Natural frequencies and mode shapes
- thermal_field.py: Temperature distribution visualization
- design_space.py: Parameter-objective landscape exploration

Features:
- 5 insight types: zernike_wfe, stress_field, modal, thermal, design_space
- CLI: python -m optimization_engine.insights generate <study>
- Standalone HTML generation with Plotly
- Enhanced Zernike viz: Turbo colorscale, smooth shading, 0.5x AMP
- Dashboard API fix: Added include_coefficients param to extract_relative()

Documentation:
- docs/protocols/system/SYS_16_STUDY_INSIGHTS.md
- Updated ATOMIZER_CONTEXT.md (v1.7)
- Updated 01_CHEATSHEET.md with insights section

Tools:
- tools/zernike_html_generator.py: Standalone WFE HTML generator
- tools/analyze_wfe.bat: Double-click to analyze OP2 files

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 13:46:28 -05:00
Antoine
48404fd743 feat: Add Zernike wavefront viewer and V14 TPE optimization study
Dashboard Zernike Analysis:
- Add ZernikeViewer component with tabbed UI (40°, 60°, 90° vs 20°)
- Generate 3D surface mesh plots with Mesh3d triangulation
- Full 50-mode Zernike coefficient tables with mode names
- Manufacturing metrics for 90_vs_20 (optician workload analysis)
- OP2 availability filter for FEA trials only
- Fix duplicate trial display with unique React keys
- Tab switching with proper event propagation

Backend API Enhancements:
- GET /studies/{id}/trials/{num}/zernike - Generate Zernike HTML on-demand
- GET /studies/{id}/zernike-available - List trials with OP2 files
- compute_manufacturing_metrics() for aberration analysis
- compute_rms_filter_j1to3() for optician workload metric

M1 Mirror V14 Study:
- TPE (Tree-structured Parzen Estimator) optimization
- Seeds from 496 prior FEA trials (V11+V12+V13)
- Weighted-sum objective: 5*obj_40 + 5*obj_60 + 1*obj_mfg
- Multivariate TPE with constant_liar for efficient exploration
- Ready for 8-hour overnight runs

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-10 21:34:07 -05:00
Antoine
5fb94fdf01 feat: Add Analysis page, run comparison, notifications, and config editor
Dashboard enhancements:
- Add Analysis page with tabs: Overview, Parameters, Pareto, Correlations, Constraints, Surrogate, Runs
- Add PlotlyCorrelationHeatmap for parameter-objective correlation analysis
- Add PlotlyFeasibilityChart for constraint satisfaction visualization
- Add PlotlySurrogateQuality for FEA vs NN prediction comparison
- Add PlotlyRunComparison for comparing optimization runs within a study

Real-time improvements:
- Replace watchdog file-watching with SQLite database polling for better Windows reliability
- Add DatabasePoller class with 2-second polling interval
- Enhanced WebSocket messages: trial_completed, new_best, pareto_update, progress

Desktop notifications:
- Add useNotifications hook using Web Notifications API
- Add NotificationSettings toggle component
- Notify users when new best solutions are found

Config editor:
- Add PUT /studies/{study_id}/config endpoint with auto-backup
- Add ConfigEditor modal with tabs: General, Variables, Objectives, Settings, JSON
- Prevents editing while optimization is running

Enhanced Pareto visualization:
- Add dark mode styling with transparent backgrounds
- Add stats bar showing Pareto, FEA, NN, and infeasible counts
- Add Pareto front connecting line for 2D view
- Add table showing top 10 Pareto-optimal solutions

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-05 19:57:20 -05:00
Antoine
5c660ff270 feat: Add session management and global Claude terminal
Phase 1 - Accurate study status detection:
- Add is_optimization_running() to check for active processes
- Add get_accurate_study_status() with proper status logic
- Status now: not_started, running, paused, completed
- Add "paused" status styling (orange) to Home page

Phase 2 - Global Claude terminal:
- Create ClaudeTerminalContext for app-level state
- Create GlobalClaudeTerminal floating component
- Terminal persists across page navigation
- Shows green indicator when connected
- Remove inline terminal from Dashboard

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-05 12:56:34 -05:00
Antoine
fb2d06236a feat: Improve dashboard layout and Claude terminal context
- Reorganize dashboard: control panel on top, charts stacked vertically
- Add Set Context button to Claude terminal for study awareness
- Add conda environment instructions to CLAUDE.md
- Fix STUDY_REPORT.md location in generate-report.md skill
- Claude terminal now sends study context with skills reminder

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-04 20:59:31 -05:00
Antoine
f8b90156b3 feat: Improve dashboard performance and Claude terminal context
- Add trial limiting (300 max) and reduce polling to 15s for large studies
- Make dashboard layout wider with col-span adjustments
- Claude terminal now runs from Atomizer root for CLAUDE.md/skills access
- Add study context display in terminal on connect
- Add KaTeX math rendering styles for study reports
- Add surrogate tuner module for hyperparameter optimization
- Fix backend proxy to port 8001

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-04 17:36:00 -05:00
Antoine
9eed4d81eb feat: Add Claude Code terminal integration to dashboard
- Add embedded Claude Code terminal with xterm.js for full CLI experience
- Create WebSocket PTY backend for real-time terminal communication
- Add terminal status endpoint to check CLI availability
- Update dashboard to use Claude Code terminal instead of API chat
- Add optimization control panel with start/stop/validate actions
- Add study context provider for global state management
- Update frontend with new dependencies (xterm.js addons)
- Comprehensive README documentation for all new features

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-04 15:02:13 -05:00
Antoine
8cbdbcad78 feat: Add Protocol 13 adaptive optimization, Plotly charts, and dashboard improvements
## Protocol 13: Adaptive Multi-Objective Optimization
- Iterative FEA + Neural Network surrogate workflow
- Initial FEA sampling, NN training, NN-accelerated search
- FEA validation of top NN predictions, retraining loop
- adaptive_state.json tracks iteration history and best values
- M1 mirror study (V11) with 103 FEA, 3000 NN trials

## Dashboard Visualization Enhancements
- Added Plotly.js interactive charts (parallel coords, Pareto, convergence)
- Lazy loading with React.lazy() for performance
- Code splitting: plotly.js-basic-dist (~1MB vs 3.5MB)
- Chart library toggle (Recharts default, Plotly on-demand)
- ExpandableChart component for full-screen modal views
- ConsoleOutput component for real-time log viewing

## Documentation
- Protocol 13 detailed documentation
- Dashboard visualization guide
- Plotly components README
- Updated run-optimization skill with Mode 5 (adaptive)

## Bug Fixes
- Fixed TypeScript errors in dashboard components
- Fixed Card component to accept ReactNode title
- Removed unused imports across components

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-04 07:41:54 -05:00
Antoine
75d7036193 feat: Enhance dashboard with charts, study report viewer, and pruning tracking
- Add ConvergencePlot component with running best, statistics, gradient fill
- Add ParameterImportanceChart with Pearson correlation analysis
- Add StudyReportViewer with KaTeX math rendering and full markdown support
- Update pruning endpoint to query Optuna database directly
- Add /report endpoint for STUDY_REPORT.md files
- Fix chart data transformation for single/multi-objective studies
- Update Protocol 13 documentation with new components
- Update generate-report skill with dashboard integration

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-02 22:01:49 -05:00
e3bdb08a22 feat: Major update with validators, skills, dashboard, and docs reorganization
- Add validation framework (config, model, results, study validators)
- Add Claude Code skills (create-study, run-optimization, generate-report,
  troubleshoot, analyze-model)
- Add Atomizer Dashboard (React frontend + FastAPI backend)
- Reorganize docs into structured directories (00-09)
- Add neural surrogate modules and training infrastructure
- Add multi-objective optimization support

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-25 19:23:58 -05:00
d228ccec66 refactor: Archive experimental LLM features for MVP stability (Phase 1.1)
Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-24 09:12:36 -05:00
dd7f0c0f82 Phase 3.3: Multi-objective optimization fix, updated docs & Claude skill
- Fixed drone gimbal optimization to use proper semantic directions
- Changed from ['minimize', 'minimize'] to ['minimize', 'maximize']
- Updated Claude skill (v2.0) with Phase 3.3 integration
- Added centralized extractor library documentation
- Added multi-objective optimization (Protocol 11) section
- Added NX multi-solution protocol documentation
- Added dashboard integration documentation
- Fixed Pareto front degenerate issue with proper NSGA-II configuration

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-24 07:49:48 -05:00
f76bd52894 feat: Implement Protocol 13 - Real-Time Dashboard Tracking
Complete implementation of Protocol 13 featuring real-time web dashboard
for monitoring multi-objective optimization studies.

## New Features

### Backend (Python)
- Real-time tracking system with per-trial JSON writes
- New API endpoints for metadata, optimizer state, and Pareto fronts
- Unit inference from objective descriptions
- Multi-objective support using Optuna's best_trials API

### Frontend (React + TypeScript)
- OptimizerPanel: Real-time optimizer state (phase, strategy, progress)
- ParetoPlot: Pareto front visualization with normalization toggle
  - 3 modes: Raw, Min-Max [0-1], Z-Score standardization
  - Pareto front line connecting optimal points
- ParallelCoordinatesPlot: High-dimensional interactive visualization
  - Objectives + design variables on parallel axes
  - Click-to-select, hover-to-highlight
  - Color-coded feasibility
- Dynamic units throughout all visualizations

### Documentation
- Comprehensive Protocol 13 guide with architecture, data flow, usage

## Files Added
- `docs/PROTOCOL_13_DASHBOARD.md`
- `atomizer-dashboard/frontend/src/components/OptimizerPanel.tsx`
- `atomizer-dashboard/frontend/src/components/ParetoPlot.tsx`
- `atomizer-dashboard/frontend/src/components/ParallelCoordinatesPlot.tsx`
- `optimization_engine/realtime_tracking.py`

## Files Modified
- `atomizer-dashboard/frontend/src/pages/Dashboard.tsx`
- `atomizer-dashboard/backend/api/routes/optimization.py`
- `optimization_engine/intelligent_optimizer.py`

## Testing
- Tested with bracket_stiffness_optimization_V2 (30 trials, 20 Pareto solutions)
- Dashboard running on localhost:3001
- All P1 and P2 features verified working

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-21 15:58:00 -05:00