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, "An Expert System for Choosing the Suitable MCDM Method for solving A Spatial Decision Problem", Alex, Egypt, 2009 More
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  • Nabil Moustafa AbdelAziz, "Green Communication for Sixth-Generation Intent-Based Networks: An Architecture Based on Hybrid Computational Intelligence Algorithm", Hindawi, 2021 More

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  • Saber Mohamed, "Differential Evolution Combined with Constraint Consensus for Constrained Optimization", IEEE, 2011 More
  • Mohammed Abdel Basset Metwally Attia, "An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number", Elsevier B.V., 2019 More
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