Abstract

Unmanned aerial vehicle (UAV) systems have already been used in civilian activities, although very limitedly. Confronted different types of tasks, multi UAVs usually need to be coordinated. This can be extracted as a multi UAVs system architecture problem. Based on the general system architecture problem, a specific description of the multi UAVs system architecture problem is presented. Then the corresponding optimization problem and an efficient genetic algorithm with a refined crossover operator (GA-RX) is proposed to accomplish the architecting process iteratively in the rest of this paper. The availability and effectiveness of overall method is validated using 2 simulations based on 2 different scenarios.

Highlights

  • Unmanned aerial vehicle (UAV) systems, which were developed for military purpose originally, are currently in limited use for public service missions worldwide

  • UAV systems come in all sizes, and most are for military applications, they have already been used in civilian activities

  • UAV systems have potential to augment the effectiveness of disaster response dramatically based on their excellent performance in dull, dirty, or dangerous environment

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Summary

Introduction

Unmanned aerial vehicle (UAV) systems, which were developed for military purpose originally, are currently in limited use for public service missions worldwide. UAV systems come in all sizes, and most are for military applications, they have already been used in civilian activities. They can operate in areas where it would be irresponsible to expect pilots to fly, for example, low level, night flights over the Arctic Ocean, flights over regions where there is low level strife. UAV systems have potential to augment the effectiveness of disaster response dramatically based on their excellent performance in dull, dirty, or dangerous environment. Disaster relief and emergency response missions could be a fifth category in the civil uses of UAVs systems [1]; they are expected to be “force multipliers” in disaster response just as in achieving military missions. The effectiveness of disaster response depends on the coordination of these tasks

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