Generative Design Primer
  • Welcome
  • Introduction to Generative Design
    • Computational Design
    • Generative Design
      • What is Generative Design?
      • Why should I use Generative Design?
      • What goes into a Generative Design Process?
        • Anatomy of each stage
      • Examples of Generative Design
        • MaRs Innovation District of Toronto
        • Furniture Design
        • A Further Analogy
      • Anatomy of a Good Generative Design Process
    • Visual Programming
    • Dynamo
    • Generative Design for Revit and Dynamo
  • Deeper Dive to Generative Design
    • Algorithms
      • What are Algorithms?
      • Generators
      • Evaluators
      • Solvers
    • Optioneering
    • Optimization
      • What is Optimization?
      • Objective Function
      • Constraints
      • Data
      • Defining Goals
    • Genetic Algorithms
      • What is a Genetic Algorithm?
      • Initialization phase
      • Evaluation Phase
      • Selection Phase
      • Crossover Phase
      • Mutation Phase
    • Other Techniques
    • Genetic Algorithm Q&A
  • Hello Generative Design for Revit and Dynamo!
    • Installing Generative Design
    • Setting up a Graph for Generative Design
    • Running Generative Design
    • Visualizing Results in Generative Design
    • Refinery Toolkit
      • Installing the Refinery Toolkit from the Dynamo Package Manager
      • Using the Refinery Toolkit
    • Space Analysis for Dynamo
      • Installing the Space Analysis for Dynamo package from the Dynamo Package Manager
      • Using the Space Analysis Package
    • Using Revit alongside Generative Design
      • Using Data from Revit
      • Remember Node Inputs
      • How to Test Revit Data Capture
      • Detailed Example Workflow
      • Sharing Logic and Results
      • Current Limitations
      • Accessing Generative Design Directly From Revit
  • Sample Workflows
    • Getting Started Workflows
      • Highest Point of a Surface
      • Minimum Volume and Maximum Surface
    • Architectural Workflows
      • Building Mass Generator
      • Building Positioning based on Solar Analysis
      • Office Layout
      • Grid Object Placement in a Room
      • Entourage Placement Exploration
    • MEP Workflows
      • Distributing Spotlights in an Office Space
    • Structural Workflows
    • BIM Workflows
      • Placement of views on sheets
    • Community Examples
      • Guidelines
      • List Of Examples
  • Generative Design in Your Office
    • What Generative Design Can Be Used For?
    • What Generative Design Can’t Be Used For?
    • How to Convince Senior Stakeholders of Using Generative Design?
    • The Role of a Generative Designer
    • Hiring a Generative Designer
  • Next Steps
    • Machine Learning
      • What is Machine Learning?
      • Is Generative Design Machine Learning?
      • Can Machine Learning and Generative Design Work Together?
  • Appendix
    • Glossary
    • Reference Material
    • Need Professional Help?
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  • Description
  • Static inputs
  • Variable inputs
  • Functions
  • Evaluators
  • Benefit of Using Generative Design
  • Results
  • Video Tutorial

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Placement of views on sheets

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Last updated 16 days ago

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Description

This graph takes all cropped views from the current Revit document and places them onto sheets. It will create all the sheets you need to accommodate the existing cropped views, and then will generate different options for the ways the views can be laid out.

By using generative design methods, we can find solutions that minimize the number of sheets and reduce the amount of whitespace.

Static inputs

Name

Description

Sheet title block

Title block that will be used for each sheet created

Sheet margins (mm) (right, left, top, bottom)

Margins within the title block that determine the available sheet area in which the cropped views are placed. These four parameters are given to avoid placing views on top of title blocks.

Viewport Margin (mm)

Individual margin for each view (the right, left, top and bottom margins are equal)

Variable inputs

Name

Description

Shuffle seed

Index that will shuffle the viewport order of placement

Functions

The script is made up of a series of functions, which are divided into groups inside the graph. Each group has a name and a short description, where the name indicates the type of function that is being run and the description explains the process in more detail.

The graph collects all the views from the selected view types that have been cropped, before extracting their dimensions and adding a margin to them. It also takes a default title block and, based on the margins specified as inputs, calculates the area where the views are going to be placed. Then, it shuffles the order of the views and begins placing them onto the sheet starting from the top-left corner.

The placement direction goes horizontally from left to right, adding as many rows as possible in each sheet. When there is no space left on a sheet, it generates another one and continues to place the views until all of them have been placed.

Once all the views have been placed on sheets, the script evaluates the design based on the number of sheets created, the leftover free area in those sheets and how suitable the order of the views is.

Evaluators

Name

Description

Number of sheets (u)

Total number of sheets created to accommodate all views

Sheet space not occupied (%)

Percentage of the space left over in the generated sheets

Order percentage (%)

Percentage measuring how good the order is in the shuffled list of views

Benefit of Using Generative Design

Without generative design, in running this script in Dynamo the user would be required to manually reorder the list of views manually until they manage to find the desired layout. This process would take hours, if not days (unless the user was incredibly lucky).

As the aim of this example is simple (finding the best arrangement for the views and maximizing the space used in the sheets), the optimize approach can be used.

The shuffle seed included in the script helps Generative Design to keep a record of the best-shuffled option and optimize the results from there.

Results

Once generation has finished, the results can be explored through the tables and graphs in the Explore Outcomes dialog.

The image below shows an example output from a randomized study based on 50 outputs. Although this graph would usually be used for optimization, in this case a randomize method was used to display the variety of results that the script may produce.

From the graph below, you can see that most results require two sheets (represented as small circles) but some require three sheets (big circles). The Y-axis represents how well ordered the views are placed.

Video Tutorial

Workflow files for Revit 2023
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Workflow files for Revit 2025
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