• Corpus ID: 219955569

Genetic Programming visitation scheduling solution can deliver a less austere COVID-19 pandemic population lockdown

@article{Howard2020GeneticPV,
  title={Genetic Programming visitation scheduling solution can deliver a less austere COVID-19 pandemic population lockdown},
  author={Daniel Howard},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.10748}
}
A computational methodology is introduced to minimize infection opportunities for people suffering some degree of lockdown in response to a pandemic, as is the 2020 COVID-19 pandemic. Persons use their mobile phone or computational device to request trips to places of their need or interest indicating a rough time of day: `morning', `afternoon', `night' or `any time' when they would like to undertake these outings as well as the desired place to visit. An artificial intelligence methodology… 

Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review

A conclusion is drawn from the observation of reviewed papers that AI-based algorithms have a clear application in COVID-19 epidemiological spread modeling and may be a crucial tool in the combat against coming pandemics.

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prepare the products (S max I v j g j ) and sum them to get the infection level