Definitions for generative design
gen·er·a·tive de·sign

WikipediaRate this definition:0.0 / 0 votes

1. Generative design

   Generative design is an iterative design process that generates outputs that meet specified constraints to varying degrees. In a second phase, designers can then provide feedback to the generator that explores the feasible region by selecting preferred outputs or changing input parameters for future iterations. Either or both phases can be done by humans or software. One method is to use a generative adversarial network, which is a pair of neural networks. The first generates a trial output. The second provides feedback for the next iteration.The output can be items such as images, sounds, architectural models, animation, and industrial parts. It is used in design fields such as art, architecture, communication design, and product design.Computers can explore orders of magnitude more permutations, exploring the interactions of the enormous numbers of design elements in small increments.It mimics nature’s evolutionary approach to design through genetic variation and selection. These techniques are available even for designers with little programming experience. It is supported by commercially available CAD packages. Tools leveraging generative design as a foundation are available.Compared with traditional top-down design approaches, generative design addresses design problems by using a bottom-up paradigm. The solution itself then evolves to a good, if not optimal, solution.Generative design involves rule definition and result analysis which are integrated with the design process. By defining parameters and rules, the generative approach is able to provide optimized solution for both structural stability and aesthetics. Possible design algorithms include cellular automata, shape grammar, genetic algorithm, space syntax, and most recently, artificial neural network. Due to the high complexity of the solution generated, rule-based computational tools, such as finite element method and topology optimisation, are more preferable to evaluate and optimise the generated solution. The iterative process provided by computer software enables the trial-and-error approach in design, and involves architects interfering with the optimisation process. In 2017 Autodesk's Fusion360 CAD software first allowed human designers to describe an approximate design for a part, refine critical measurements, identify required loads, stresses, and angles, and then let the software search for an optimized design. The software then begins iterating, changing things a bit at a time, much like random mutations try out new combinations of animal DNA, and testing it against the necessary performance targets, much like life tests its DNA mutations. Over millions of generations, the software adds a little metal here, removes a little there, and checks if the part is stronger or weaker, lighter or heavier than its predecessors. Within a surprisingly short time (a couple of hours, if given access to high-powered cloud processing), it comes back with shapes humans could never have directly designed. But they're strikingly similar to the work of nature; where there's more stress to be dealt with, they gradually become thicker. Where there's less stress, they get thinner. Support structures waste away where they're not needed, and tend to line up with the load path. In short, they start looking weirdly bony and organic.

WikidataRate this definition:5.0 / 1 vote

1. Generative Design

   Generative design is a design method in which the output – image, sound, architectural models, animation – is generated by a set of rules or an Algorithm, normally by using a computer program. Most generative design is based on parametric modeling. It is a fast method of exploring design possibilities that is used in various design fields such as Art, Architecture, Communication Design, and Product Design. Typically, generative design has: A design schema A means of creating variations A means of selecting desirable outcomes Some generative schemes use genetic algorithms to create variations. Some use just random numbers. Generative design has been inspired by natural design processes, whereby designs are developed as genetic variations through mutation and crossovers. In contrast to long-established concepts such as Generative Art or Computer Art, Generative Design also includes particular tasks within the area of design, architecture, and product design. Within the Communication Design area, the main applications are the creation of information graphics, diagrams, and flexible corporate designs.

How to pronounce generative design?

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How to say generative design in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of generative design in Chaldean Numerology is: 4

2. Pythagorean Numerology

   The numerical value of generative design in Pythagorean Numerology is: 2

References

1. ^ Wikipedia
   https://en.wikipedia.org/wiki/Generative_Design
2. ^ Wikidata
   https://www.wikidata.org/w/index.php?search=generative design