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Analysis and Optimization of DroneGo Disaster Response System

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DOI: 10.23977/erej.2020.040101 | Downloads: 13 | Views: 1094


Ziwen Fang 1


1 Institute of international education, North China Electric Power University, Baoding 071000, China

Corresponding Author

Ziwen Fang


Natural disasters can be destructive and cause a wide range of attacks, thus emergent rescue can be crucial. DroneGo disaster response system play an important role in the rescue after disasters. DroneGo fleet is expected to provide both transportation of medical packages and video of damaged and serviceable transportation road networks. We take the hurricane happened in Puerto Rico in 2017 as an example to analyse the DroneGo system. Firstly we develop integer programming model to find the best packing configuration. Then, the selection of locations to position cargo containers can be variant. In order to find the optimal solution, we use level analytical method and develop multiple attribute decision-making  model. Finally, the genetic algorithm plays a vital role in optimization of air routes. In addition, we combine the solution to the packing problem and optimal locations to position cargo containers, thus the packing configuration and flight plans are determined. Schedule can be the summary of the previous questions. We make the table for clear explanation.


Drone, disaster, rescue, optimization


Ziwen Fang. Analysis and Optimization of DroneGo Disaster Response System. Environment, Resource and Ecology Journal (2020) 4: 1-15. DOI:


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