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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  • Define
  • Run
  • Results
  • Overall Process

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  1. Introduction to Generative Design
  2. Generative Design
  3. What goes into a Generative Design Process?

Anatomy of each stage

PreviousWhat goes into a Generative Design Process?NextExamples of Generative Design

Last updated 5 years ago

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Each of these stages can be further broken down into define, run and results steps. The define step is the responsibility of the designer, while the run and results steps are performed by the computer.

Using this breakdown, let's look at what thegenerate stage would entail.

Define

For the define step, the designer will need to do the following:

  • Establish the generation algorithm - this is the logic that defines how designs are generated, which may include things like constraints and rules.

  • Provide the generation parameters - these are the variables or inputs needed for the previously-defined algorithm.

This define step is present and vital for all stages of the generative design process, as the validity of outputs relies on the quality of the designer’s contribution in this step.

With clear and concise logic, the computer can provide suitable outputs.

Run

Once everything is defined in the algorithm and its accompanying parameters, the computer begins to run, meaning it starts to generate different design options. This process might happen locally on the designer's computer or, for more intensive calculations, it may happen using cloud computing.

Results

The things that are generated during the run step are the final outputs from each stage. These are then used as inputs or parameters in subsequent phases.

For example, the designs created in the generate phase will be used as one of input parameters in the analysis phase.

Overall Process

We can map these stages and steps together in a single diagram, allowing us to visualize the order of each stage and their dependencies.

The diagram shows us that:

  • Each stage and step is dependent on the previous one.

  • The entire study process is repeatable, as each iteration learns from the previous results.