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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A support tool for planning classrooms considering social distancing between students

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Author(s):
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Bortolete, J. C. [1] ; Bueno, L. F. [2] ; Butkeraites, R. [2] ; Chaves, A. A. [2] ; Collaco, G. [2] ; Magueta, M. [2] ; Pelogia, F. J. R. [2] ; Salles Neto, L. L. [2] ; Santos, T. S. [2, 3] ; Silva, T. S. [2] ; Sobral, F. N. C. [4] ; Yanasse, H. H. [2]
Total Authors: 12
Affiliation:
[1] Fed Inst Sao Paulo, Dept Math, Itaquaquecetuba, SP - Brazil
[2] Univ Fed Sao Paulo, Dept Sci & Technol, Sao Jose Dos Campos, SP - Brazil
[3] Fed Inst Sao Paulo, Dept Math, Campos Do Jordao, SP - Brazil
[4] Univ Estadual Maringa, Dept Math, Maringa, PR - Brazil
Total Affiliations: 4
Document type: Journal article
Source: COMPUTATIONAL & APPLIED MATHEMATICS; v. 41, n. 1 FEB 2022.
Web of Science Citations: 0
Abstract

In this paper, we present the online tool http://salaplanejada.unifesp.br, developed to assist the layout planning of classrooms considering the social distancing in the context of the COVID-19 pandemic. We address both the fixed and non-fixed position seat allocation problems. For the first case, we use two integer optimization models and discuss some curiosities about the solutions found. For the case that the seats can be moved freely, we handle the problem with circle packing techniques using continuous non-linear optimization. For these instances, we propose new algorithms, following other packing problems approaches in the literature. In addition, we propose a fast heuristic that provides a good starting point for the optimization procedure and also an efficient configuration ensuring the students positions in lines, which may be of interest to the user. Computational results are presented to illustrate the numerical behavior of the algorithms and models. (AU)

FAPESP's process: 16/01860-1 - Cutting, packing, lot-sizing, scheduling, routing and location problems and their integration in industrial and logistics settings
Grantee:Reinaldo Morabito Neto
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 19/13420-4 - Optimization methods applied to neural networks for anomaly detection in credit card transactions
Grantee:Frederico José Ribeiro Pelogia
Support Opportunities: Scholarships in Brazil - Scientific Initiation
FAPESP's process: 18/24293-0 - Computational methods in optimization
Grantee:Sandra Augusta Santos
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC