MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR LAYOUT OPTIMIZATION OF EDUCATIONAL INSTITUTIONAL SPACES
DOI:
https://doi.org/10.29327/sbqp2021.438102Keywords:
Multi-objective algorithm, Form optimization, Educational institutionsAbstract
The inevitable transformation of the digital revolution combined with changes in people's lives driven by the Covid-19 pandemic and climate change will bring new possibilities to amplify computational capabilities through design methodologies and innovative productions. The main objective of this research is to verify the potential use of a multi-objective algorithm to optimize educational institutional layout spaces, considering lighting and social distancing aspects. The research classified according to its finality in experimental research with the following lineation: (i) bibliographic research; (ii) ambient and params definition; (iii) developing generative models; (iv) computational simulation; (v) multi-objective optimization; and (vi) analysis of the results. The data referring to light comfort in ambient were obtained through simulations made in Rhinoceros software, plug-in Grasshopper. And data referring to social distancing in educational institutions were inserted and automatized in the model. As a result, we were verified that the optimization algorithm quickly found the best layout, considering minimal distancing between desks together with the minor solar incidence on the desks. This study will help the decision-making design process in the search for the best architectural solution.
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