This post was written by Tom McCallum

Our Top Ten Generative Design Patterns 2014

As you may have seen in our article on graphic design trends to look out for in 2014, generative design was tipped to feature quite highly. It seems we were right!

The art of generative design processing is beginning to make an appearance in the mainstream. It’s even starting to creep into the design of high street products.  Artists are increasingly looking to computer generation and algorithm design techniques to explore the possibilities offered by this new art form and some of the results are like nothing we’ve seen before.

We present to you our top ten generative designs by ten of our favourite generative designers of 2014:

 

1. Holger Lippman

Holger Lippmann generative design

Holger Lippman is quickly becoming recognised as a master of generative design and with this piece from his ‘Star Grid’ series it’s easy to see why. Holger yields algorithms as if they were a paintbrush.

 

2. Sergio Albiac

Generative design Portrait

Generative design is all about mimicking patterns that occur in nature and what natural shape has captured the imagination of artists throughout history more than the human face? In Sergio Albiac‘s generative portraits he uses computer processing to explore, “beauty, contradictions, the illusion of control in a world governed by randomness and the elusive nature of emotions.”

 

3. Ilya Fridman/Studio Batch

rasp pi case design

Art and cutting edge technology are at the forefront of industrial designer Ilya Fridman‘s case design for  revolutionary computer, the raspberry pi. His company, Studio Batch, were commisioned to produce a 3D printed design for the case and the result is a great example of generative design’s compatibility with 3D printing. Expect to see more and more designs like this one in modern product design.

 

4. Luca Ferrario

generative processing abstract

Luca Ferrario is only 22 years old but his talent for design is already at a very high level. Generative Psychedelie is a personal project of his that features a series of abstract designs inspired by the work of Ernst Haeckel.

 

5. Matthieu Regout

Brussels identity poster

In Matthieu Regout‘s redesign for the identity of Brussels, the plan was to create a visual identity that would convey a unique image of the city. Generative design was a clever option as the patterns and shapes produced are always different.

 

6. Nick Taylor

Nick Taylor - Unfold

Nick Taylor describes his new series, entitled ‘unfold,’ as generative organic composition. Nick works across graphic design, illustration and fashion design and uses algorithm design techniques to inspire all his work.

 

7. Paolo Ceric

natural algorithm design

Paolo Ceric describes this piece from his ‘flow’ series as “noise experiment in processing.” However, the algorithms at play here seem to create a gentler, softer effect than that description would suggest. In the act, Paolo may have stumbled across the generative design for hair.

 

8. Saul Paley

Saul Paley New Zealand work

Saul Paley completed these designs when he was still at university. Demonstrating how close the world of art and game design are becoming, Saul now works at start-up game design company, Fiero Interactive, which he helped to co-found.

 

9. Enrico Bevere

Font generative

Enrico Bevere demonstrates his control of algorithm design with this amazing typography set. This is one of the finest generative font designs available.

 

10.  Deskriptiv

deskriptiv - design

Last but not least, it’s Christoph Bader and Dominik Kolb who form the duo Deskriptiv. They are quickly becoming a big name on the generative design scene with radical experiments using 3D sculptures and graphic design. We’ll leave you with a description of generative design from these great pioneers:

“Generative design mostly employs ways to encode processes. These are often programs, algorithms, procedures or any way to encode rules or step by step recipes. However evaluating these processes is done by a computer. After the process is encoded, the generative designer surfaces parameters which can be used to vary the process and the way it is evaluated. By modifying these parameters she or he can create new designs which emerge from the process. By inspecting the outcomes and varying the process and again re-encoding it the generative designer is improving the process and maybe as such the final outcomes.”

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