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?
Powered by GitBook
On this page

Was this helpful?

  1. Appendix

Glossary

Algorithm / al·go·rithm / noun

A process or set of rules to be followed in calculations or other problem-solving operations with a computer.

Computational design / comp·u·ta·tion·al de·sign / noun

Explicit rules that systematically model the behavior of a proposed design and the resulting data and geometry. Not many project data are kept as static objects; instead, the procedure to create them is saved. Project geometry and data are generated from the execution of mathematical and logical procedures.

Cross-product / cross pro·duct / verb

aka Cartesian Product - the product of two or more sets that contains all ordered pairs between the sets.

Evaluate / e·val·u·ate / verb

To judge the quality of something based on how well it performs in one or more objective functions.

Evolve / e·vol·ve / verb

To gradually make something better over generations.

Explore / ex·plore / verb

To consider different ways of interpreting results and rankings.

Generate / gen·er·ate / verb

To produce or create a design. Requires one or more input parameters that are combined in an algorithm to produce a design study. The resulting model or data is not necessarily a viable design.

Generative design / gen·er·a·tive de·sign / noun

A system that produces design studies (alternatives), evaluates them against quantifiable goals, improves studies by learning from previous results, and ranks results based on their distance from the goals. The project is kept as a system, with affordances to choose one or a small subset of alternatives as a final set of project data and geometry.

Global optimum / glo·bal op·ti·mum / verb

The best solution out of all the possible solutions.

Goal / goal / noun

A quantifiable target value or range for a project or feature of a project.

Iterative / it·er·a·tive / verb

Doing something repeatedly, often to make it better.

Local optimum / lo·cal op·ti·mum / verb

The best solution within a group of solutions that are slightly different, but still worse than the global optimum.

Multi-objective / mul·ti ob·ject·ive / adjective

Using two or more objectives when optimizing a solution.

Optimization / op·ti·mi·sa·tion / verb

Maximizing or minimizing a mathematical function to arrive at the best possible solution to a problem.

Optioneering / op·tion·eer·ing / verb

Enter a desired number of results and design algorithm and make the computer generate solutions.

Permutation / per·mu·ta·tion / verb

A unique iteration of a design.

Seed / seed / noun

A value that initializes a random function.

Solver / solv·er / noun

An algorithm specifically designed to find the solution to a precisely defined problem.

PreviousAppendixNextReference Material

Last updated 6 months ago

Was this helpful?