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. Little project data is 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

Different ways to interpret results and rankings.

Generate / gen·er·ate / verb

To produce or create a design. Requires 1 or more input parameters which 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, 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 most optimal 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 neighbourhood 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 some 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.