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ARCH 655 | Project 2

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An experimental study on Genetic  algorithm  performance  for building form optimization 1- Summary The genetic algorithm using the Galapagos component of Grasshopper is used to find the optimized form of a building based on the total energy use. On the other hand, a large number of uniform-random cases are simulated, and among them, the best result based on the total energy use will be taken out. Then the two solutions, GA best solution, and uniform-random best solution are compared in terms of accuracy, time and number of iterations. 2- Project Introduction A genetic algorithm (GA) is a heuristic algorithm that is inspired by Charles Darwin's theory of natural evolution. This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation. GA first, builds a population by random genomes. Then at the next step, it evaluates each result in the initial
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ARCH 655 | Project 1

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Parametric Modeling in Grasshopper 1- Project Introduction In this project a parametric form including both mass and skin, for the chosen building, is created, using Rhino/Grasshopper functions and components. The driving parameters for the model are identified, organized and can be easily changed in Grasshopper through real-time interactions. This project has initially two phases: Phase A, parametrically remodel a previously modeled building. And phase B, comparing the remodeled Grasshopper algorithm with the previous algorithm. The comparison of the two models will show the importance and capabilities of the data structure. Being able to model with fewer nodes and using the right data structure will certainly improve the flexibility and efficiency of the model. 2- Building introduction: Bright Building TAMU campus, College Station, Texas Location:   30°36′5″ N   -   96°18′52″ W The building chosen for this project is the Bright building, locat
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