From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic-Reference-Cited by-同舟云学术

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From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic

Published:2021-04 Issue:2 Volume:25 Page:386-401
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Miikkulainen Risto^ORCID,Francon Olivier,Meyerson Elliot,Qiu Xin^ORCID,Sargent Darren,Canzani Elisa,Hodjat Babak

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/9390472/09366776.pdf?arnumber=9366776

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Multilevel optimization for policy design with agent-based epidemic models;Journal of Computational Science;2024-04

3. Evolutionary optimization of policy responses to COVID-19 pandemic via surrogate models;Applied Soft Computing;2024-03

4. An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming;ACM Transactions on Evolutionary Learning and Optimization;2024-02-23

5. Predicting COVID-19 pandemic waves including vaccination data with deep learning;Frontiers in Public Health;2023-12-15

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