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Artificial neural nets | Cellular Automata | Computational geometry | Genetic algorithms | Lindenmayer Systems | Reading the space of Deptford high st | Surfaces | Swarm

Genetic algorithms

Part of the teaching process involves exploring genetic algorithms by developing a personal approach based on a supplied skeleton code in AutoCAD VBA or Rhinoscript. By substituting different kinds of parameters and recoding students develop their own outcomes. After a successful evolution, the fittest object is sent to the FabPad (rapid prototyping and fabrication unit at UEL) for realisation. Lessons learnt from this process – did it fall apart, or fail to be manufactured in other ways- are fed back into the loop when the students recode their VBA to avoid these problems. The images show the work of renee pussep


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School of Arts and Digital Industries


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Artwork and Images:

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Centre for Evolutionary Computing in Architecture
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