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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id sigradi2017_064
authors Fonseca Motta, Silvio Romero; Ana Clara Moura Mourão, Ana Clara Moura Mourão, Suellen Roquete Ribeiro, Julia Marion Florencio Kato
year 2017
title Simulation of Scenarios and Urban Analysis Using Parametric Modeling and Genetic Algorithm Based on Multicriteria Analysis
source SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.434-440
summary The present paper surveys a method of changing the adequacy level of variables in multicriteria analysis (MCA) using parametric modeling. The aim is to simulate if-then scenarios to support resilience designs. The case study is a MCA for Pampulha region, Belo Horizonte, Brazil. The parametric model was developed in Grasshopper software, and defines, by knowledge-driven, a set of weight for an increased environmental quality which generates an index of suitability for each territorial unit. The if-then simulation changes the level of adequacy of 3 variables using a genetic algorithm, which calculates new distribution patterns for the MCA adequacy level.
keywords Multicriteria analysis; Parametric modeling; Genetic algorithm; Urban analysis; Scenario simulation.
series SIGraDi
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