Multi-objective Optimization and Generic Control Design Variables

.github/workflows/CI_WEIS.yml

@@ -57,8 +57,8 @@ jobs:
 
       # - name: feature branches of other codes
       #   run: |
-      #     conda remove --force openraft
-      #     pip install https://github.com/yqliaohk/RAFT/archive/meshing_update.zip
+      #     conda remove --force wisdem
+      #     pip install https://github.com/NLRWindSystems/WISDEM/archive/develop.zip
 
       # Don't delete after this
 
@@ -75,7 +75,7 @@ jobs:
 
       - name: Add test packages
         run: |
-            conda install -y pytest pytest-cov coveralls treon gdown
+            conda install -y pytest pytest-cov coveralls treon
 
       - name: Show custom environment
         run: |

docs/ftw_overview.rst

@@ -0,0 +1,13 @@
+.. _section-ftw:
+
+====================================
+Formulation Toolbox for WEIS (FTW)
+====================================
+
+
+The Formulation Toolbox for WEIS (FTW) provides a set of tools and methodologies for formulating and analyzing design optimizations.
+
+
+--------------------------
+Introduction
+--------------------------

docs/how_weis_moo_viz_works.rst

@@ -0,0 +1,288 @@
+.. _moo_dashboard:
+
+
+WEIS Multi-Objective Optimization Dashboard
+============================================
+
+The MOO Dashboard is an interactive visualization tool for analyzing multi-objective optimization results from WEIS. It provides real-time exploration of design space, Pareto fronts, and trade-offs between competing objectives.
+
+Overview
+--------
+
+The dashboard enables users to:
+
+* Visualize high-dimensional optimization results using Scatter Plot Matrix (SPLOM)
+* Identify and explore Pareto-optimal solutions
+* Analyze relationships between design variables, objectives, and constraints
+* Export interactive visualizations for reports and presentations
+* Compare individual design iterations with detailed data tables
+
+.. video:: images/viz/MOO/dashboard.mov
+   :width: 900
+   :autoplay:
+
+Installation
+------------
+
+The MOO Dashboard is included with WEIS. Ensure you have the required dependencies:
+
+.. code-block:: bash
+
+   conda activate weis-env
+   pip install dash plotly pandas numpy pyyaml dash-bootstrap-components
+
+Running the Dashboard
+---------------------
+
+Launch the dashboard from the command line:
+
+.. code-block:: bash
+
+   conda activate weis-env
+   cd weis/visualization/moo_dashboard
+   python main.py
+
+The dashboard will open in your default browser at ``http://localhost:8050``.
+
+User Interface
+--------------
+
+The dashboard consists of four main sections:
+
+1. **File Loaders**
+
+   * **CSV File**: Load optimization results (design variables, objectives, constraints)
+   * **YAML File**: Load problem definition (variable categories, optimization goals)
+
+
+2. **Controls & Variables**
+
+   Select which variables to visualize:
+
+   * **Objectives** (blue): Quantities to minimize or maximize
+   * **Constraints** (orange): Feasibility requirements
+   * **Design Variables** (green): Parameters that can be modified
+
+   For each objective, select whether to minimize or maximize using toggle buttons.
+
+
+3. **Scatter Plot Matrix (SPLOM)**
+
+   Interactive matrix showing all pairwise relationships between selected variables:
+
+   * **Color scale**: Represents iteration number
+   * **Red diamonds**: Pareto-optimal solutions (if enabled)
+   * **Green star**: Currently highlighted point (when clicked)
+   * **Click** on any point to see detailed values in the data table
+
+   Controls:
+
+   * ``Show/Hide Pareto Front``: Toggle visualization of optimal solutions
+   * ``Show/Hide Diagonal``: Toggle diagonal histogram plots
+   * ``Clear Highlighting``: Remove point selection
+   * ``Download Dashboard``: Export as standalone interactive HTML
+
+
+4. **Data Table**
+
+   Displays detailed values for the selected iteration.
+
+
+Input File Formats
+------------------
+
+CSV File
+~~~~~~~~
+
+The CSV file should contain one row per optimization iteration with columns for:
+
+* Design variables (e.g., ``tune_rosco_ivc.Kp_float``)
+* Objectives (e.g., ``aeroelastic.AEP``)
+* Constraints (e.g., ``aeroelastic.rotor_overspeed``)
+
+Example:
+
+.. csv-table::
+   :header: "aeroelastic.AEP", "aeroelastic.DEL_TwrBsMyt", "aeroelastic.rotor_overspeed", "aeroelastic.Max_PtfmPitch", "tune_rosco_ivc.Kp_float", "tune_rosco_ivc.ps_percent"
+   :widths: 15, 15, 15, 15, 15, 15
+
+   "410786235558.229", "87616.5338", "0.0905", "5.0551", "-20.4375", "0.6525"
+   "421847787601.9160", "101079.1819", "0.0848", "5.2194", "-8.4375", "0.8725"
+
+
+YAML File
+~~~~~~~~~
+
+The YAML file defines the optimization problem structure:
+
+.. code-block:: yaml
+
+  design_vars:
+    -     -  tune_rosco_ivc.Kp_float
+          -  name: tune_rosco_ivc.Kp_float
+              upper: 0.0
+              lower: -30.0
+              size: 1
+              val: [-9.937499999999996]
+    -     -  tune_rosco_ivc.ps_percent
+          -  name: tune_rosco_ivc.ps_percent
+              upper: 1.0
+              lower: 0.6
+              size: 1
+              val: [0.8775]
+  constraints:
+    -     -  aeroelastic.rotor_overspeed
+          -  name: aeroelastic.rotor_overspeed
+              lower: 0.0
+              upper: 0.2
+              equals: ''
+              size: 1
+              val: [0.1168584634534533]
+    -     -  aeroelastic.Max_PtfmPitch
+          -  name: aeroelastic.Max_PtfmPitch
+              lower: -1e+30
+              upper: 5.5
+              equals: ''
+              size: 1
+              val: [5.111509323120117]
+  objectives:
+    -     -  aeroelastic.AEP
+          -  name: aeroelastic.AEP
+              size: 1
+              val: [-4209011.602067122]
+    -     -  aeroelastic.DEL_TwrBsMyt
+          -  name: aeroelastic.DEL_TwrBsMyt
+              size: 1
+              val: [0.9920550255927588]
+
+Features
+--------
+
+Pareto Front Calculation
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+The dashboard automatically calculates Pareto-optimal solutions based on:
+
+* Selected objectives and their optimization sense (minimize/maximize)
+* Non-dominated sorting algorithm
+* Visual distinction with red diamond markers
+
+The Pareto front represents the set of solutions where no objective can be improved without degrading another.
+
+Array Variable Handling
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Variables containing arrays (e.g., blade chord distribution) are automatically detected and split into:
+
+* ``variable_min``: Minimum value in the array
+* ``variable_max``: Maximum value in the array
+
+This allows visualization of array-valued design variables in the SPLOM.
+
+Interactive HTML Export
+~~~~~~~~~~~~~~~~~~~~~~~
+
+The ``Download Dashboard`` button creates a standalone HTML file that saves the current status of the dashboard, allowing you to continue analysis offline. The exported file contains:
+
+* Full interactive SPLOM with all data points
+* Current selections and highlighted points
+* Click-through functionality for data table updates
+* Toggle controls for Pareto front and diagonal visibility
+* All optimization data embedded for complete offline access
+* No external dependencies or internet connection required
+
+.. video:: images/viz/MOO/export.mov
+   :width: 900
+   :autoplay:
+
+Configuration
+-------------
+
+Settings can be modified in ``config/settings.py``:
+
+.. code-block:: python
+
+   # Server configuration
+   HOST = '0.0.0.0'
+   PORT = 8050
+
+   # Plot styling
+   DEFAULT_PLOT_WIDTH = 800
+   DEFAULT_PLOT_HEIGHT = 800
+   MARKER_SIZE = 4
+
+   # Color schemes
+   HIGHLIGHT_COLOR = '#00FF41'  # Bright green
+   COLOR_SCALES = {
+       'objectives': 'primary',    # Blue
+       'constraints': 'warning',   # Orange
+       'design_vars': 'success'    # Green
+   }
+
+
+Architecture
+------------
+
+The dashboard follows a modular architecture:
+
+.. code-block:: text
+
+   moo_dashboard/
+   ├── main.py              # Entry point
+   ├── app_init.py          # Application initialization
+   ├── config/
+   │   └── settings.py      # Configuration constants
+   ├── layouts/
+   │   ├── layout.py        # Main page layout
+   │   └── components.py    # Reusable UI components
+   ├── callbacks/
+   │   ├── data_loading.py      # File upload/loading
+   │   ├── channel_selection.py # Variable selection
+   │   └── visualization.py     # Plot updates and interactions
+   └── utils/
+       ├── data_processing.py   # Data transformation and Pareto calculation
+       └── plot_helpers.py      # Plotly figure creation
+
+
+Troubleshooting
+---------------
+
+Dashboard won't start
+~~~~~~~~~~~~~~~~~~~~~
+
+Check that the port is not already in use:
+
+.. code-block:: bash
+
+   lsof -i :8050
+
+Change the port in ``config/settings.py`` if needed.
+
+Data not loading
+~~~~~~~~~~~~~~~~
+
+Verify:
+
+* CSV file has proper column headers
+* YAML file follows the required structure
+* File paths are absolute (not relative)
+* Files are accessible with read permissions
+
+Pareto front not showing
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+Ensure:
+
+* At least 2 objectives are selected
+* Objective senses (min/max) are configured correctly
+* CSV data contains valid numeric values for objectives
+
+Click events not working
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+This is a known issue with some browser configurations. Try:
+
+* Using a different browser (Chrome/Firefox recommended)
+* Clearing browser cache
+* Disabling browser extensions that might interfere with JavaScript
+

docs/how_weis_viz_works.rst

@@ -1,7 +1,7 @@
 .. _weis_viz_app:
 
 
-WEIS Visualization APP
+WEIS I/O Visualization APP
 =======================
 
 This application provides a web-based graphical user interface to visualize input/output from WEIS.

docs/index.rst

@@ -65,14 +65,22 @@ WEIS Outputs
 
    weis_outputs
 
-WEIS Visualization Application
+WEIS I/O Visualization Application
 ===============================
 
 .. toctree::
    :maxdepth: 2
 
    how_weis_viz_works
 
+WEIS Multi-Objective Optimization Visualization Application
+================================================
+
+.. toctree::
+   :maxdepth: 2
+
+   how_weis_moo_viz_works
+
 Developer Documentation
 =========================
 

environment.yml

@@ -14,7 +14,7 @@ dependencies:
   - openfast>=4.1.0
   - openfast-io>=4.1.0
   - pyopenfast>=4.1.0
-  # - openraft>=2.0.2
+  - openraft>=2.0.3
   - osqp  
   - pcrunch>=2.1.5
   - pip
@@ -33,7 +33,7 @@ dependencies:
     - orbit-nrel
     - smt
     - windIO>=2.0.1
-    - git+https://github.com/NLRWindSystems/RAFT.git@dev
+    # - git+https://github.com/NLRWindSystems/RAFT.git@dev
 # Needs to be done outside of environment file:
 #  - m2w64-toolchain # [win]
 #  - libpython # [win]

examples/00_setup/OpenFAST_models/update_weis_discons.py

@@ -22,3 +22,4 @@
 
     # Make discons    
     update_discons(discon_map)
+