Hybrid Computational Intelligence Algorithm for Autonomous Handling of COVID-19 Pandemic Emergency in Smart Cities

Faculty Computer Science Year: 2022
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Sustainable Cities and Society Elsevier Volume:
Keywords : Hybrid Computational Intelligence Algorithm , Autonomous Handling    
Abstract:
New cities exploit the smartness of the IoT-based architecture to run their vital and organizational processes. The smart response of pandemic emergency response services needs optimizing methodologies of caring and limit infection without direct connection with patients. In this paper, a hybrid Computational Intelligence (CI) algorithm called Moth-Flame Optimization and Marine Predators Algorithms (MOMPA) is proposed for planning the COVID-19 pandemic medical robot's path without collisions
   
     
 
       

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  • Nabil Moustafa AbdelAziz, "A Modified Artificial Bee Colony Algorithm for Solving Least-Cost Path Problem in Raster GIS", Natural Sciences Publishing Corporation., 2015 More
  • Nabil Moustafa AbdelAziz, "Enhancing ArcGIS Decision Making Capabilities Using an Intelligent Multicriteria Decision Analysis Toolbox", International Society for Environmental Information Sciences., 2012 More
  • Nabil Moustafa AbdelAziz, "An Expert System for Choosing the Suitable MCDM Method for solving A Spatial Decision Problem", Alex, Egypt, 2009 More
  • Nabil Moustafa AbdelAziz, "Efficient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Study", Tech Science Press, 2021 More
  • Nabil Moustafa AbdelAziz, "Green Communication for Sixth-Generation Intent-Based Networks: An Architecture Based on Hybrid Computational Intelligence Algorithm", Hindawi, 2021 More

Department Related Publications

  • Saber Mohamed, "A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems", IEEE, 2014 More
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