Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic

Author:

Khalilpourazari SoheylORCID,Hashemi Doulabi Hossein,Özyüksel Çiftçioğlu Aybike,Weber Gerhard-Wilhelm

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference84 articles.

1. A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection;Abdel-Basset;Expert Systems with Applications,2020

2. Forecasting the Number of Coronavirus (COVID-19) Cases in Ethiopia Using Exponential Smoothing Times Series Model.;Abebe;medRxiv,2020

3. A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients;Ahamad;Expert Systems with Applications,2020

4. Ahmadianfar, I., Bozorg-Haddad, O., & Chu, X. (2020). Gradient-Based Optimizer: A New Metaheuristic Optimization Algorithm. Information Sciences.

5. Data-driven methods to monitor, model, forecast and control covid-19 pandemic: Leveraging data science, epidemiology and control theory.;Alamo;arXiv preprint,2020

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