Simulation of Scenarios and Urban Analysis Using Parametric Modeling and Genetic Algorithm Based on Multicriteria Analysis

MOTTA, Silvio R.; MOURA, Ana Clara M.; GALVÃO, Ana Clara Z.; RIBEIRO, Suellen R.; KATO, Júlia. Simulation of Scenarios and Urban Analysis Using Parametric Modeling and Genetic Algorithm Based on Multicriteria Analysis. In: XXI Congreso Internacional de la Sociedad Iberoamericana de Gráfica Digital, 2017, Concepción. Blucher Design Proceedings. São Paulo: Editora Blucher, 2017. v.3., n. 12, p.397-402.

ISSN 2318-6968, DOI 10.5151/sigradi2017-063

Link:
https://www.proceedings.blucher.com.br/article-details/simulation-of-scenarios-and-urban-analysis-using-parametric-modeling-and-genetic-algorithm-based-on-multicriteria-analysis-27658

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.

Link:
https://www.proceedings.blucher.com.br/article-details/simulation-of-scenarios-and-urban-analysis-using-parametric-modeling-and-genetic-algorithm-based-on-multicriteria-analysis-27658