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… Expand
1 Citations
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
TLDR
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. Expand

References

SHOWING 1-10 OF 15 REFERENCES
Genetic Programming visitation scheduling in lockdown with partial infection model that leverages information from COVID19 testing
This report introduces a computational methodology to minimize infection opportunities for people suffering some degree of lockdown in response to a pandemic. Persons use their mobile phone orExpand
A phased lift of control: a practical strategy to achieve herd immunity against Covid-19 at the country level
TLDR
This work proposes an alternative exit strategy to develop herd immunity in a predictable and controllable way: a phased lift of control, which means that successive parts of the country stop stringent control, and Covid-19-related IC admissions are distributed over the country as the whole. Expand
Genetic Programming II: Automatic Discovery of Reusable Programs.
TLDR
This book presents evidence that it is possible to interpret GP with ADFs as performing either a top-down process of problem decomposition or a bottom-up process of representational change to exploit identified regularities. Expand
Genetic programming - on the programming of computers by means of natural selection
  • J. Koza
  • Computer Science
  • Complex adaptive systems
  • 1993
TLDR
This book discusses the evolution of architecture, primitive functions, terminals, sufficiency, and closure, and the role of representation and the lens effect in genetic programming. Expand
Predicting the Structure of Covert Networks using Genetic Programming, Cognitive Work Analysis and Social Network Analysis
TLDR
This project demonstrates that it is possible to define a set of structures that can be tackled using different intervention strategies, and demonstrates how patterns of social network structures can be predicted on the basis of task knowledge, and how they can be used to guide the gathering of intelligence and to define plausible Covert Networks. Expand
Genetic programming of the stochastic interpolation framework: convection–diffusion equation
TLDR
A genetic programming scheme that enables SI to recover the analytical solution to a two-point boundary value convection–diffusion differential equation is illustrated with a nascent solution method that could serve as an alternative to the weighted residual methods, as these are known to have inherent mathematical difficulties. Expand
The Origin of Quarantine.
  • W. Nie
  • Medicine
  • Canadian Medical Association journal
  • 1929
TLDR
In the absence of a targeted vaccine and according to medical theory, traditional belief and alchemical practice, quarantine formed the standard system and was relied upon for the 40-day period as one of the most effective general preventive intervention, which influenced people for centuries. Expand
Evolving Modules in Genetic Programming by Subtree Encapsulation
TLDR
This paper investigates the effect of encapsulating tree-based genetic programming subtrees by representing them as atoms in the terminal set, so that the subtree evaluations can be exploited as terminal data. Expand
Genetic Programming solution of the convection-diffusion equation
A version of Genetic Programming (GP) is proposed for the solution of the steady-state convection-diffusion equation which neither requires sampling points to evaluate fitness nor application of theExpand
.'s Organización Internacional para las Migraciones Panamá. Cuarentena total en suelo panameño
  • 2020
...
1
2
...