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summary

The project investigates the potential offered by evolutionary and genetic computation towards a more holistic approach in architectural and structural design. It takes advantage of evolutionary form finding strategies through the use of material self organization under load and gravity. Instead of relying on post-optimizing the structure in the final stage of the process, the project embraces these methods as great opportunities and deliberately deploys them as the very tools of the design.

information

Project: EC, Evolutionary Computation
Location: na
Type: Research
Year: 2007
Team: Mehlan, Opperer, Hugo
Client: na
Status: FEIDAD intl. competition finalist
Project Partners: na

project text

Form follows function. This famous and disputed demand, associated mainly with architectural modernism in the 20th century, seems to be most valid when looking at biological systems: In these systems the form and structure of a biological entity equips the organism best for survival. In order to succeed, biological structures are highly complex systems with the aim of reaching an optimized solution for any given requirement. Every organism and life form emerges through the process of evolutionary self-organization.

While the principles of morphogenesis tend to become an increasingly attractive paradigm in the field of architectural design and the aesthetic appeal of natural form has always been important to architects and designers, the inherent principles of these systems have gained significance ever since evolutionary and genetic computation have become utilized for design and optimization purposes.

The project investigates the potential offered by evolutionary and genetic computation towards a more holistic approach in architectural and structural design. It takes advantage of evolutionary form finding strategies through the use of material self organization under load and gravity. Instead of relying on post-optimizing the structure in the final stage of the process, the project embraces these methods as great opportunities and deliberately deploys them as the very tools of the design.

Evolutionary and genetic computation strategies are used for finding an optimized form (based on given demands) and finally leading to a differentiated and complex architectural result.