# Protocol Workflows

**Last Updated**: 2025-11-21
**Version**: 1.0
**Status**: ✅ Complete

---

## Overview

This document provides detailed workflow diagrams for each Atomizer protocol, showing exactly how the system processes optimizations from configuration to completion.

---

## Protocol 10: Intelligent Multi-Strategy Optimization (IMSO)

### Complete IMSO Workflow

```mermaid
flowchart TD
    Start([User Starts Optimization]) --> LoadConfig[Load optimization_config.json]
    LoadConfig --> CheckMultiObj{Multi-objective?}

    %% Multi-objective path
    CheckMultiObj -->|Yes| MultiObjPath[Protocol 11 Active]
    MultiObjPath --> SkipChar[Skip Characterization<br/>Protocol 10 Not Used]
    SkipChar --> SetNSGAII[Set Sampler: NSGA-II]
    SetNSGAII --> RunTrialsMulti[Run All Trials<br/>NSGA-II Only]

    %% Single-objective path
    CheckMultiObj -->|No| SingleObjPath[Protocol 10 Active]
    SingleObjPath --> InitChar[Initialize Characterization]

    %% Characterization Phase
    subgraph CharPhase["Characterization Phase (Protocol 10)"]
        InitChar --> RandomSampling[Random/Sobol Sampling]
        RandomSampling --> RunCharTrial[Run Trial]
        RunCharTrial --> CharCount{Trial count ≥ min_trials?}
        CharCount -->|No| RandomSampling
        CharCount -->|Yes| CheckInterval{Check interval<br/>reached?}
        CheckInterval -->|No| RandomSampling
        CheckInterval -->|Yes| CalcConfidence[Calculate Confidence Score]

        CalcConfidence --> ConfCheck{Confidence ≥ 0.85?}
        ConfCheck -->|No| MaxCheck{Reached max_trials?}
        MaxCheck -->|No| RandomSampling
        MaxCheck -->|Yes| ForceAnalysis[Force Landscape Analysis]

        ConfCheck -->|Yes| ReadyForAnalysis[Ready for Analysis]
        ForceAnalysis --> ReadyForAnalysis
    end

    %% Landscape Analysis
    ReadyForAnalysis --> LandscapeAnalysis

    subgraph Analysis["Landscape Analysis"]
        LandscapeAnalysis[Analyze Landscape] --> Smoothness[Compute Smoothness]
        Smoothness --> Multimodal[Detect Multimodality]
        Multimodal --> Separability[Measure Separability]
        Separability --> Noise[Estimate Noise Level]

        Noise --> Classify{Landscape Type}

        Classify -->|Smooth + Unimodal| RecommendTPE[Recommend: TPE]
        Classify -->|Smooth + Multimodal| RecommendCMAES[Recommend: CMA-ES]
        Classify -->|Noisy| RecommendGP[Recommend: GP]
        Classify -->|Complex| RecommendNSGAII[Recommend: NSGA-II]
        Classify -->|Unknown| RecommendRandom[Recommend: Random]
    end

    %% Strategy Selection
    RecommendTPE --> SelectStrategy[Select Strategy]
    RecommendCMAES --> SelectStrategy
    RecommendGP --> SelectStrategy
    RecommendNSGAII --> SelectStrategy
    RecommendRandom --> SelectStrategy

    SelectStrategy --> LogTransition[Log Strategy Transition<br/>Protocol 13]
    LogTransition --> RunOptimization

    %% Optimization Phase
    subgraph OptPhase["Optimization Phase"]
        RunOptimization[Run Optimization] --> RunTrial[Execute Trial]
        RunTrial --> CheckStagnation{Stagnation<br/>detected?}
        CheckStagnation -->|No| MoreTrials{More trials?}
        CheckStagnation -->|Yes| SwitchStrategy[Switch Strategy]
        SwitchStrategy --> LogSwitch[Log Transition]
        LogSwitch --> RunTrial

        MoreTrials -->|Yes| RunTrial
        MoreTrials -->|No| OptComplete[Optimization Complete]
    end

    RunTrialsMulti --> Complete
    OptComplete --> Complete

    Complete[Generate Final Report] --> End([Optimization Complete])

    %% Styling
    classDef phaseClass fill:#E8F5E9,stroke:#2E7D32,stroke-width:3px
    classDef decisionClass fill:#FFF9C4,stroke:#F57F17,stroke-width:2px
    classDef protocolClass fill:#E1BEE7,stroke:#6A1B9A,stroke-width:2px

    class CharPhase,OptPhase,Analysis phaseClass
    class CheckMultiObj,CharCount,CheckInterval,ConfCheck,MaxCheck,Classify,CheckStagnation,MoreTrials decisionClass
    class MultiObjPath,SingleObjPath,LogTransition,LogSwitch protocolClass
```

### Confidence Calculation Details

```mermaid
graph TB
    subgraph ConfidenceCalc["Confidence Score Calculation"]
        Start[Recent Trials<br/>Last 10-20 trials] --> Convergence[Convergence Score<br/>Improvement rate]
        Start --> Coverage[Exploration Coverage<br/>Design space sampling]
        Start --> Stability[Prediction Stability<br/>Surrogate variance]

        Convergence --> Weight1[× 0.4]
        Coverage --> Weight2[× 0.3]
        Stability --> Weight3[× 0.3]

        Weight1 --> Sum[Σ Weighted Scores]
        Weight2 --> Sum
        Weight3 --> Sum

        Sum --> Overall[Overall Confidence<br/>0.0 - 1.0]

        Overall --> Threshold{≥ 0.85?}
        Threshold -->|Yes| Ready[Ready for Exploitation]
        Threshold -->|No| Continue[Continue Characterization]
    end

    subgraph Metrics["Individual Metrics"]
        Conv[Convergence:<br/>Recent improvement / Initial range]
        Cov[Coverage:<br/>Unique regions explored / Total regions]
        Stab[Stability:<br/>1 - (prediction_std / value_range)]
    end

    Convergence -.-> Conv
    Coverage -.-> Cov
    Stability -.-> Stab
```

### Landscape Analysis Algorithm

```mermaid
flowchart LR
    subgraph LandscapeFeatures["Landscape Feature Extraction"]
        direction TB

        Trials[Completed Trials] --> BuildSurrogate[Build GP Surrogate]

        BuildSurrogate --> F1[Feature 1:<br/>Smoothness]
        BuildSurrogate --> F2[Feature 2:<br/>Multimodality]
        BuildSurrogate --> F3[Feature 3:<br/>Separability]
        BuildSurrogate --> F4[Feature 4:<br/>Noise Level]

        F1 --> Smooth[Gradient Variance<br/>Low = Smooth]
        F2 --> Modes[Local Optima Count<br/>High = Multimodal]
        F3 --> Sep[Variable Interaction<br/>Low = Separable]
        F4 --> NoiseEst[Residual Variance<br/>High = Noisy]
    end

    subgraph Classification["Strategy Classification"]
        direction TB

        Smooth --> C1{Smoothness<br/>< 0.3?}
        Modes --> C2{Modes > 3?}
        Sep --> C3{Separability<br/>< 0.5?}
        NoiseEst --> C4{Noise > 0.2?}

        C1 -->|Yes| TPEScore[TPE Score +2]
        C1 -->|No| TPEScore

        C2 -->|Yes| CMAScore[CMA-ES Score +2]
        C2 -->|No| CMAScore

        C3 -->|Yes| GPScore[GP Score +1]
        C3 -->|No| GPScore

        C4 -->|Yes| NSGAScore[NSGA-II Score +2]
        C4 -->|No| NSGAScore

        TPEScore --> MaxScore{Max score?}
        CMAScore --> MaxScore
        GPScore --> MaxScore
        NSGAScore --> MaxScore

        MaxScore --> Winner[Winning Strategy]
    end

    LandscapeFeatures --> Classification
```

---

## Protocol 11: Multi-Objective Support

### Multi-Objective Decision Tree

```mermaid
flowchart TD
    Start[Component Initialization] --> CheckObj{Check Study<br/>Objectives}

    CheckObj -->|len == 1| SingleObj[Single-Objective Mode]
    CheckObj -->|len > 1| MultiObj[Multi-Objective Mode]

    %% Single-objective path
    subgraph SinglePath["Single-Objective Operations"]
        SingleObj --> API1[Use Singular API]
        API1 --> UseBestValue[study.best_value]
        API1 --> UseBestTrial[study.best_trial]
        API1 --> UseTrialValue[trial.value]
        API1 --> EnableChar[Enable Characterization]
        API1 --> EnableStag[Enable Stagnation Detection]
    end

    %% Multi-objective path
    subgraph MultiPath["Multi-Objective Operations"]
        MultiObj --> API2[Use Plural API]
        API2 --> UseBestTrials[study.best_trials<br/>Pareto Front]
        API2 --> UseTrialValues[trial.values<br/>List of objectives]
        API2 --> SkipChar[Skip Characterization<br/>Return confidence=1.0]
        API2 --> SkipStag[Skip Stagnation Detection<br/>Return False]
        API2 --> UseSampler[Force NSGA-II Sampler]
    end

    %% Component checks
    subgraph Components["Component-Level Checks"]
        Comp1[adaptive_surrogate.py] --> CompCheck1{Multi-obj?}
        CompCheck1 -->|Yes| Return1[Return max confidence]
        CompCheck1 -->|No| Calc1[Calculate confidence]

        Comp2[strategy_portfolio.py] --> CompCheck2{Multi-obj?}
        CompCheck2 -->|Yes| Return2[Skip stagnation]
        CompCheck2 -->|No| Calc2[Detect stagnation]

        Comp3[realtime_tracking.py] --> CompCheck3{Multi-obj?}
        CompCheck3 -->|Yes| Write1[Write trial.values]
        CompCheck3 -->|No| Write2[Write trial.value]
    end

    SinglePath --> Components
    MultiPath --> Components

    Components --> End[Component Execution]

    %% Styling
    classDef singleClass fill:#C8E6C9,stroke:#2E7D32,stroke-width:2px
    classDef multiClass fill:#BBDEFB,stroke:#1565C0,stroke-width:2px
    classDef checkClass fill:#FFF9C4,stroke:#F57F17,stroke-width:2px

    class SinglePath,API1,UseBestValue,UseBestTrial,UseTrialValue,EnableChar,EnableStag singleClass
    class MultiPath,API2,UseBestTrials,UseTrialValues,SkipChar,SkipStag,UseSampler multiClass
    class CheckObj,CompCheck1,CompCheck2,CompCheck3 checkClass
```

### Protocol 11 Compliance Checklist

```mermaid
flowchart TD
    subgraph Detection["1. Detect Objective Count"]
        D1[len study.directions] --> D2{Count?}
        D2 -->|1| SetSingle[is_multi_objective = False]
        D2 -->|>1| SetMulti[is_multi_objective = True]
    end

    subgraph APIUsage["2. Use Correct API"]
        SetSingle --> API1[✓ study.best_value<br/>✓ study.best_trial<br/>✓ trial.value]
        SetMulti --> API2[✓ study.best_trials<br/>✓ trial.values<br/>✗ trial.value = ERROR]
    end

    subgraph Features["3. Feature Compatibility"]
        API1 --> F1[✓ Characterization<br/>✓ Landscape Analysis<br/>✓ Stagnation Detection<br/>✓ All Strategies]
        API2 --> F2[✗ Characterization Skipped<br/>✗ Landscape Analysis Skipped<br/>✗ Stagnation Detection Skipped<br/>✓ NSGA-II Only]
    end

    subgraph Tracking["4. Tracking Compliance"]
        F1 --> T1[Write trial.value<br/>Write best_value]
        F2 --> T2[Write trial.values<br/>Write pareto_front_size]
    end

    subgraph Validation["5. Pre-deployment Validation"]
        T1 --> V1{Test both modes}
        T2 --> V1
        V1 --> V2[✓ Single-obj test passes]
        V1 --> V3[✓ Multi-obj test passes]
        V2 --> Pass[Protocol 11 Compliant]
        V3 --> Pass
    end

    classDef errorClass fill:#FFCDD2,stroke:#C62828,stroke-width:2px
    classDef successClass fill:#C8E6C9,stroke:#2E7D32,stroke-width:2px

    class API2 errorClass
    class Pass successClass
```

---

## Protocol 13: Real-Time Dashboard Tracking

### Tracking Workflow

```mermaid
sequenceDiagram
    autonumber
    participant Opt as IntelligentOptimizer
    participant Optuna
    participant Callback as RealtimeTracker<br/>(Optuna Callback)
    participant FS as File System
    participant Dashboard

    %% Study initialization
    Opt->>Callback: Initialize Tracker
    Callback->>FS: Create intelligent_optimizer/<br/>directory

    %% Trial execution
    loop For each trial
        Optuna->>Optuna: Sample Parameters
        Optuna->>Opt: Execute Objective Function
        Opt->>Opt: Run NX Solver

        %% Trial completion
        Optuna->>Callback: after_trial(study, trial)

        activate Callback

        %% Write trial log
        Callback->>Callback: Extract trial data
        Callback->>FS: Append to trial_log.json
        Note over FS: {trial_number, params,<br/>values, state, timestamp}

        %% Write optimizer state
        Callback->>Callback: Get current strategy/phase
        Callback->>FS: Write optimizer_state.json
        Note over FS: {current_strategy,<br/>current_phase, trial_number}

        %% Conditional writes
        alt Characterization Phase
            Callback->>Callback: Calculate progress
            Callback->>FS: Write characterization_progress.json
            Note over FS: {confidence, convergence,<br/>exploration, trials_complete}
        end

        alt Landscape Analysis Complete
            Callback->>Callback: Get analysis results
            Callback->>FS: Write intelligence_report.json
            Note over FS: {landscape_features,<br/>strategy_recommendation,<br/>confidence}
        end

        alt Strategy Transition
            Callback->>Callback: Log transition
            Callback->>FS: Write strategy_transitions.json
            Note over FS: {from_strategy, to_strategy,<br/>reason, trial_number}
        end

        deactivate Callback

        %% Dashboard update
        FS-->>Dashboard: File Watch Event
        Dashboard->>FS: Read JSON Files
        Dashboard->>Dashboard: Parse Data
        Dashboard->>Dashboard: Update UI
        Dashboard->>Dashboard: Render Charts

    end

    %% Finalization
    Opt->>FS: Write optimization_summary.json
    Opt->>FS: Write final_report.md
    Dashboard->>Dashboard: Show Final Results
```

### File Write Patterns

```mermaid
graph TB
    subgraph FileWrites["Protocol 13 File Writes"]
        direction TB

        subgraph EveryTrial["Every Trial (after_trial)"]
            T1[trial_log.json<br/>APPEND mode]
            T2[optimizer_state.json<br/>OVERWRITE mode]
        end

        subgraph Conditional["Conditional Writes"]
            C1{In characterization?}
            C1 -->|Yes| W1[characterization_progress.json]
            C1 -->|No| Skip1[Skip]

            C2{Landscape analyzed?}
            C2 -->|Yes| W2[intelligence_report.json]
            C2 -->|No| Skip2[Skip]

            C3{Strategy changed?}
            C3 -->|Yes| W3[strategy_transitions.json<br/>APPEND mode]
            C3 -->|No| Skip3[Skip]
        end

        subgraph OnComplete["On Completion"]
            F1[optimization_summary.json]
            F2[final_report.md]
        end
    end

    subgraph Format["JSON Format Examples"]
        direction LR

        Ex1["trial_log.json:<br/>[{trial: 0, ...},<br/> {trial: 1, ...}]"]
        Ex2["optimizer_state.json:<br/>{strategy: 'TPE',<br/> phase: 'optimization'}"]
        Ex3["characterization_progress.json:<br/>{confidence: 0.72,<br/> trials: 15/30}"]
    end

    EveryTrial -.-> Ex1
    EveryTrial -.-> Ex2
    Conditional -.-> Ex3
```

---

## LLM-Assisted Workflow (Hybrid Mode)

### Complete LLM Workflow

```mermaid
flowchart TD
    Start([User Provides Requirements]) --> LLMStart[LLM Receives Request]

    LLMStart --> Parse[Parse Requirements]
    Parse --> Extract[Extract Key Info:<br/>- Objectives<br/>- Design variables<br/>- Constraints<br/>- Preferences]

    Extract --> DesignChoice{Design<br/>Decisions<br/>Needed?}

    %% Interactive clarification
    DesignChoice -->|Yes| AskUser[Ask User for Clarification]
    AskUser --> UserResponse[User Provides Details]
    UserResponse --> Extract

    %% Generate configuration
    DesignChoice -->|No| GenerateConfig[Generate Config]

    subgraph ConfigGen["Configuration Generation"]
        GenerateConfig --> SetObjectives[Define Objectives<br/>with extractors]
        SetObjectives --> SetDesignVars[Define Design Variables<br/>with bounds]
        SetDesignVars --> SetConstraints[Define Constraints]
        SetConstraints --> SetProtocols[Configure Protocols]

        SetProtocols --> P10Config{Enable<br/>Protocol 10?}
        P10Config -->|Yes| CharConfig[Set characterization params]
        P10Config -->|No| SkipP10[Use default sampler]

        CharConfig --> FinalConfig
        SkipP10 --> FinalConfig[Assemble JSON]
    end

    FinalConfig --> ValidateConfig{Valid<br/>Configuration?}

    ValidateConfig -->|No| FixConfig[Fix Issues]
    FixConfig --> FinalConfig

    ValidateConfig -->|Yes| WriteConfig[Write optimization_config.json]

    %% Create extractor if needed
    WriteConfig --> NeedExtractor{Custom<br/>Extractor<br/>Needed?}

    NeedExtractor -->|Yes| CreateExtractor

    subgraph ExtractorGen["Extractor Generation"]
        CreateExtractor[Generate Extractor Code] --> BaseClass[Inherit from BaseExtractor]
        BaseClass --> ExtractMethod[Implement extract method]
        ExtractMethod --> RegisterExt[Register in library]
    end

    RegisterExt --> WriteExtractor[Write extractor.py]

    NeedExtractor -->|No| SkipExtractor[Use built-in extractors]

    WriteExtractor --> SetupStudy
    SkipExtractor --> SetupStudy

    %% Study setup
    subgraph StudySetup["Study Setup"]
        SetupStudy[Create Study Directory] --> CreateFolders[Create 1_setup/ & 2_results/]
        CreateFolders --> CopyModel[Copy CAD model to 1_setup/model/]
        CopyModel --> CopyConfig[Copy config to 1_setup/]
        CopyConfig --> CreateRunner[Create run_optimization.py]
    end

    CreateRunner --> ReadyToRun[Study Ready to Run]

    ReadyToRun --> UserConfirm{User<br/>Approves?}

    UserConfirm -->|No| Revise[User Provides Feedback]
    Revise --> Parse

    UserConfirm -->|Yes| RunOptimization[Execute Optimization]

    %% Optimization execution
    RunOptimization --> Protocol10Flow[Follow Protocol 10 Workflow]
    Protocol10Flow --> Protocol13Track[Protocol 13 Tracking Active]
    Protocol13Track --> Monitor[LLM Can Monitor Progress]

    Monitor --> Complete{Optimization<br/>Complete?}
    Complete -->|No| Monitor
    Complete -->|Yes| Analyze[Analyze Results]

    %% Result analysis
    subgraph ResultAnalysis["Result Analysis"]
        Analyze --> ReadDB[Read study.db]
        ReadDB --> ReadReports[Read JSON reports]
        ReadReports --> ExtractInsights[Extract Insights:<br/>- Best solution<br/>- Trade-offs<br/>- Landscape type<br/>- Convergence]
    end

    ExtractInsights --> PresentResults[Present Results to User]
    PresentResults --> End([Workflow Complete])

    %% Styling
    classDef llmClass fill:#FFEBEE,stroke:#C62828,stroke-width:2px
    classDef userClass fill:#E3F2FD,stroke:#1976D2,stroke-width:2px
    classDef processClass fill:#E8F5E9,stroke:#2E7D32,stroke-width:2px

    class LLMStart,Parse,Extract,GenerateConfig,CreateExtractor,Analyze,ExtractInsights,PresentResults llmClass
    class Start,AskUser,UserResponse,UserConfirm,Revise,End userClass
    class ConfigGen,ExtractorGen,StudySetup,ResultAnalysis processClass
```

### LLM Decision Points

```mermaid
flowchart LR
    subgraph Decisions["LLM Decision Points During Setup"]
        direction TB

        D1[Objective Type]
        D1 --> D1A{Minimize/Maximize?}
        D1A --> D1B{Target value?}
        D1B --> D1C{Single/Multi-objective?}

        D2[Design Variables]
        D2 --> D2A{Continuous/Integer/Categorical?}
        D2A --> D2B{Physical bounds?}
        D2B --> D2C{Engineering constraints?}

        D3[Extractor Selection]
        D3 --> D3A{Built-in available?}
        D3A -->|No| D3B[Generate custom]
        D3A -->|Yes| D3C[Use built-in]

        D4[Protocol Configuration]
        D4 --> D4A{Enable IMSO?}
        D4A -->|Yes| D4B[Set characterization<br/>min/max trials]
        D4A -->|No| D4C[Use default sampler]

        D5[Constraint Handling]
        D5 --> D5A{Hard constraints?}
        D5A -->|Yes| D5B[Pruning callbacks]
        D5A -->|No| D5C[Soft penalties]
    end

    subgraph Clarification["When LLM Asks User"]
        Q1[Ambiguous objective<br/>'Optimize performance']
        Q2[Unknown bounds<br/>'What is max thickness?']
        Q3[Missing constraints<br/>'Any mass limits?']
        Q4[Extractor uncertainty<br/>'How to extract stress?']
    end

    D1C -.->|Unclear| Q1
    D2B -.->|Unknown| Q2
    D2C -.->|Unclear| Q3
    D3A -.->|Unsure| Q4
```

---

## Integration: All Protocols Together

### Complete Optimization Flow

```mermaid
flowchart TD
    Start([User Starts]) --> Config[Load Configuration]

    Config --> DetectMode{LLM-assisted?}

    %% LLM path
    DetectMode -->|Yes| LLMSetup[LLM generates config<br/>and extractors]
    LLMSetup --> InitOpt

    %% Manual path
    DetectMode -->|No| ManualConfig[User-written config]
    ManualConfig --> InitOpt

    %% Initialization
    InitOpt[Initialize IntelligentOptimizer] --> P13Init[Protocol 13: Initialize Tracking]
    P13Init --> DetectObj{Multi-objective?}

    %% Single-objective path
    DetectObj -->|No| P10Start[Protocol 10: Start IMSO]

    subgraph P10["Protocol 10 Execution"]
        P10Start --> CharPhase[Characterization Phase<br/>Random/Sobol sampling]
        CharPhase --> CharProgress{Confidence ≥ 0.85?}
        CharProgress -->|No| CharPhase
        CharProgress -->|Yes| P13Char[P13: Write characterization_progress.json]

        P13Char --> Landscape[Landscape Analysis]
        Landscape --> P13Intel[P13: Write intelligence_report.json]
        P13Intel --> SelectStrat[Select Strategy]
        SelectStrat --> P13Trans[P13: Write strategy_transitions.json]

        P13Trans --> OptPhase[Optimization Phase<br/>Selected strategy]
        OptPhase --> StagnCheck{Stagnation?}
        StagnCheck -->|Yes| SwitchStrat[Switch Strategy]
        SwitchStrat --> P13Trans
        StagnCheck -->|No| OptPhase
    end

    %% Multi-objective path
    DetectObj -->|Yes| P11Start[Protocol 11: Multi-Obj Mode]

    subgraph P11["Protocol 11 Execution"]
        P11Start --> SkipChar[Skip Characterization]
        SkipChar --> SetNSGAII[Set NSGA-II Sampler]
        SetNSGAII --> OptPhaseMulti[Optimization Phase<br/>NSGA-II only]
    end

    %% Trial execution (common)
    OptPhase --> RunTrial
    OptPhaseMulti --> RunTrial

    subgraph TrialExec["Trial Execution"]
        RunTrial[Execute Trial] --> NXUpdate[Update NX Model]
        NXUpdate --> NXSolve[Run FEA Solver]
        NXSolve --> ExtractResults[Extract Results<br/>Using Extractors]
        ExtractResults --> CalcObj[Calculate Objectives]
        CalcObj --> OptunaUpdate[Update Optuna Study]
    end

    %% Tracking after trial
    OptunaUpdate --> P13Trial[P13: after_trial callback]

    subgraph P13Track["Protocol 13 Tracking"]
        P13Trial --> WriteLog[Append trial_log.json]
        WriteLog --> WriteState[Write optimizer_state.json]
        WriteState --> DashUpdate[Dashboard Auto-Updates]
    end

    DashUpdate --> MoreTrials{More trials?}
    MoreTrials -->|Yes| RunTrial
    MoreTrials -->|No| Finalize

    %% Finalization
    Finalize[Generate Final Report] --> P13Final[P13: Write optimization_summary.json]
    P13Final --> End([Complete])

    %% Styling
    classDef p10Class fill:#E8F5E9,stroke:#2E7D32,stroke-width:2px
    classDef p11Class fill:#BBDEFB,stroke:#1565C0,stroke-width:2px
    classDef p13Class fill:#FFE082,stroke:#F57F00,stroke-width:2px

    class P10,P10Start,CharPhase,CharProgress,Landscape,SelectStrat,OptPhase,StagnCheck,SwitchStrat p10Class
    class P11,P11Start,SkipChar,SetNSGAII,OptPhaseMulti p11Class
    class P13Init,P13Char,P13Intel,P13Trans,P13Trial,P13Track,P13Final,DashUpdate p13Class
```

---

## Next Steps

For detailed architecture diagrams, see:
- [Architecture Overview](architecture_overview.md) - System components and data flow

For implementation details, see:
- [Protocol Specifications](../01_PROTOCOLS.md)
- [Documentation Index](../00_INDEX.md)