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

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

Motta, Silvio Romero Fonseca; Mourão, Ana Clara Moura; Galvão, Ana Clara Zandonaidi; Ribeiro, Suellen Roquete; Kato, Julia Marion Florencio

Artigo Completo:

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.

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:

DOI: 10.5151/sigradi2017-063

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How to cite:

Motta, Silvio Romero Fonseca; Mourão, Ana Clara Moura; Galvão, Ana Clara Zandonaidi; Ribeiro, Suellen Roquete; Kato, Julia Marion Florencio; "Simulation of Scenarios and Urban Analysis Using Parametric Modeling and Genetic Algorithm Based on Multicriteria Analysis", p-397-402. In: . São Paulo: Blucher, 2017.
ISSN 23186968, DOI 10.5151/sigradi2017-063