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HUNGRY!

RESEARCH AND OPTIMIZATION OF VENDOR DISTRIBUTION IN NEW YORK CITY

RESEARCH STUDIO, SUMMER '19, CORNELL UNIVERSITY

IN COLLABORATION WITH HAMMAD AHSAN, RUOCHEN ZHANG, SHIYU JIN, AND PENG ZHANG

The project grabs and analyses urban data from Google API and translates them into a dynamic model in rhino and grasshopper, using metadata as a dictionary to analyze the advanced metric of urban fast food. A proposal is suggested in the end through multi-agent optimization to offer a better distribution for the fast-food based on those analytical metrics.

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RESEARCH

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©2021 by Zhenxiang Huang.

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