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Generative design is a type of popular computational design providing a simple alternative design that is important instance to architectural design. This study aimed to examine generative design process to better understanding, and building an instruction set by repeat experiment methodology through case study. Willis Tower Shading Analysis was applied using variables that cause differences design options of nine sorted tubes alternate automation tower of 30-, 60- and 90-meters height. Forty-five design options were generated from generative design process, selected variables used in design options including building area, shadow area, neighbor building overshadowing and park overshadowing. It was found that generative design was a quick, modest and practical process that was easy for appropriate analysis. Additionally, input data and instruction for generating multiple output design options could be set for selecting of an option and the process could be reversed for designers required options.

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