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INTERDISCIPLINARY SCHOOL
The research focuses on the exploration of evolutionary design techniques in generative algorithms through advance computation.
The experiments were divided into three sequences. Initially, a cube was selected as a primitive to be modified by the genes. In sequence two, the urban plot of Shibam, Yemen was selected as primitive and new conflicting fitness criteria, genes and breeding strategy were introduced, accordingly. This sequence relied on the simulation through Octopus, a Grasshopper plugin used for applying evolutionary principles to parametric design and problem solving to create the optimal superblock.
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