The article deals with a possibility of using a genetic algorithm in solving the tasks of optimal selection of routing for unmanned aerial vehicle (UAV) in autonomous flight. Complexity of resolving this task is the need to evaluate the situation at observed objects, to take a decision to change and recalculate the flight path in real time on board of UAV by means of onboard computers. The article reflects the relationship between the application task of monitoring of extended graph on terrain and the mathematical model of optimization by means of genetic algorithm.
APPLICATION OF COMPUTER INTELLIGENCE BASED ON GENETIC ALGORITHM IN PROBLEMS OF ROUTING OF UNMANNED AERIAL VEHICLES
2017
Article (Journal)
Electronic Resource
Unknown
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Optimal scheduling for aerial recovery of multiple unmanned aerial vehicles using genetic algorithm
SAGE Publications | 2019
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