| 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 |
| email |
|
| full text |
 file.pdf (1,813,889 bytes) |
| references |
Content-type: text/plain
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| last changed |
2021/03/28 19:58 |
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