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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