At UDEX, We offer to apply Artificial Intelligence optimisation techniques, such as Evolutionary algorithm, to our floor plan designs. Our ultimate goal is three-fold: (1) to generate floor plans, i.e. optimise the generation of a large and highly diverse quantity of floor plan designs, (2) to qualify floor plans, i.e. offer a proper classification methodology (3) to allow clients to “browse” through generated design options.
The most important subset in Artificial Intelligence that has been used at UDEX is Evolutionary algorithm. In artificial intelligence (AI), an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimisation algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. Thanks to Wallacei optimisation engine this process has been made absolutely efficient and effect more than ever before.
For architects, starting off a project requires countless hours of research, both of understanding the design intent of the project and of projects in the past. This is where our AI design engine steps in. White Block House is an fantastic example of the outcome of using this novel design engine that allowed us to address all needs of clients as well as building regulations requirements while making sure that all our innovation and principles as architects are implemented in the design process the shortest amount of time.
In the end, we were able to discover 1,000 unexpected novel design solutions and navigate trade-offs between high-performing designs, sketch constraints, and goals that lead us to give the client the opportunity to browse between different design options that are illustrated with graphs data and confidently choose the most suitable one.
Monday — Friday 10am – 6pm
Saturday — 11am – 3pm
Sunday — Closed
“We have reached a new era in Architecture.
Here at UDEX, designs get evolved through our unique algorithmic process; resulting in generating solutions that are adaptable to their environment and needs.”