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Research on Quality Management of Urban Rail Transit Vehicle Frame Overhaul Project Read chapter Read first chapter

2023 | OriginalPaper | Chapter

35. Optimizing the Layout of Nucleic Acid Test Sites for COVID-19 Based on Gannet Optimization Algorithm

Authors : Ruo-Bin Wang, Rui-Bin Hu, Fang-Dong Geng, Lin Xu

Published in: Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Publisher: Springer Nature Singapore

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Abstract

Optimizing the layout of Nucleic Acid Test Sites (NATS) is a primary issue for the blocking-up of COVID-19. In this paper, we propose an optimization model to address this issue with Gannet Optimization Algorithm (GOA) under multiple constraints. The experimental results show that the GOA-based model performed well in searching optima. It is also revealed that optional solutions with different amounts of NATS can be found, which will provide multiple references for decision-makers in planning the layout of NATS.

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Metadata
Title
Optimizing the Layout of Nucleic Acid Test Sites for COVID-19 Based on Gannet Optimization Algorithm
Authors
Ruo-Bin Wang
Rui-Bin Hu
Fang-Dong Geng
Lin Xu
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Print ISBN: 978-981-9908-47-9

Electronic ISBN: 978-981-9908-48-6

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-0848-6_36

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