An Analysis of AUGMECON2 Method on Social Distance-Based Layout Problems
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Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In the COVID-19 era, social distance has become a new source of concern for people. Decision-makers have a limited idea of how to allocate people according to social distance due to the lack of preparedness for the pandemic. It is essential to think about both distributing as many individuals as possible in a particular area and minimizing the infection risk. This new concern’s multi-objective state affords decision-makers the opportunity to solve the problem using enhanced methodologies. The AUGMECON2 method, one of the recent popular generation methods, is used to produce the exact Pareto sets for the problem. The scale and time constraints of the challenge have been examined, and recommendations have been made to decision-makers on the trade-off between the number of people and the infection risk. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Açıklama
4th International Conference on Intelligent Computing and Optimization, ICO 2021 -- 30 December 2021 through 31 December 2021 -- Virtual, Online -- 270349
Anahtar Kelimeler
AUGMECON2, COVID-19, Layout optimization, Multi-objective optimization, Social distancing
Kaynak
Lecture Notes in Networks and Systems
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
371
