Distribution of the Emergency Supplies in the COVID-19 Pandemic: A Cloud Computing Based Approach

The containment of the COVID-19 pandemic was significantly affected by unbalanced distribution emergency supplies, low coordinated transport efficiency, high costs, and inability nonprofit organizations to handle supplies efficiently. Based on experience, in this paper, we build a cloud platform for reduce asymmetry logistics information, improve efficiency distribution. Our proposed method uses genetic algorithm with monarch scheme optimize urban numerical results sensitivity analysis sample network indicate that using integrated cost different cities are reduced 29.01%, 28.67%, 22.73%, required time 22.98%, 26.59%, 36.65%. suggest reduces transportation finds optimal path.