| Title |
Brief introduction |
Authors |
Date |
| Operational Computing for Public Health Emergencies |
Reviews the application of operational research optimization computing methods in response to public health emergencies |
Zheng et al. |
March 13, 2020 |
| Quarantine vehicle scheduling for transferring high-risk individuals in epidemic areas |
Problems and algorithms for scheduling vehicles to transferring high-risk individuals in epidemic areas |
Zhang et al. |
March 9, 2020 |
| An Optimization Method for Production Resumption Planning under COVID-19 Epidemic |
Problems and algorithms for planning production resumption under COVID-19 epidemic |
Zheng et al. |
March 18, 2020 |
| An Intelligent Optimization Scheduling Method for Community Patrolling and Investigation in Epidemic Situations |
A hybrid intelligent optimization algorithm for scheduling community staffs to patrol and investigate high-risk households for epidemic prevention and control. |
Chen et al. |
April 16, 2020 |
| Balancing Common Treatment and Epidemic Control in Medical Supplies Procurement |
An Evolutionary multiobjective optimization method for simultaneously optimizing the effects of common disease treatment and epidemic control in medical supplies procurement |
Zheng et al. |
June 13, 2020 |
| Intelligent Optimization of Diversified Community Prevention of COVID-19 using Traditional Chinese Medicine |
Clusters community populations based on combined modern medicine and TCM health characteristics, and developes diversified preventive intervention programmes for different clusters by optimizing medical resource allocation among the programmes |
Zheng et al. |
August 27, 2020 |
| Real-time neural network scheduling of emergency medical mask production during COVID-19 |
A neural network scheduler that takes a sequence of production tasks as inputs and produces a schedule of tasks in a real-time manner, which has been applied to emergency medical mask production during COVID-19. |
Wu et al. |
Octorber 06, 2020 |
| Evolutionary Optimization of COVID-19 Vaccine Distribution with Evolutionary Demands |
A hybrid machine learning and evolutionary computing approach that predicts next-day vaccine demand using a fuzzy deep learning model and uses an evolutionary algorithm (EA) to arrange vehicles to distribute vaccines from warehouses to vaccination sites. |
Zheng et al. |
March 22, 2022 |
| Predicting Demands of COVID-19 Prevention and Control Materials via Co-Evolutionary Transfer Learning |
A coevolutionary transfer Learning (CETL) method to predict demand for medical materials. |
Song et al. |
March 29, 2022 |