Hybrid optimization method and system for auxiliary edge calculation of unmanned aerial vehicle
An edge computing and optimization method technology, applied in the cross field of engineering application and information science, can solve problems such as ineffective processing, large computing time, and inability to obtain the final solution
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Embodiment 1
[0033] refer to figure 1 , the present invention provides a hybrid optimization method for UAV-assisted edge computing, including:
[0034] Step S1: Construct the target fitness function according to the energy consumption required by the UAV-assisted edge computing model, wherein the energy consumption required by the UAV-assisted edge computing model includes the energy consumption of the mobile device itself to complete the computing task , the UAV processes the energy consumption of computing tasks offloaded by the mobile device and the circling energy consumption of the UAV.
[0035] In order to make those skilled in the art more clearly understand the specific construction process of the target fitness function, the following uses mobile devices and drones in a certain area as examples to illustrate.
[0036] UAVs are used as mobile base stations for edge computing services for mobile users. When the mobile devices of mobile users cannot complete computing tasks, part o...
Embodiment 2
[0124] refer to image 3 , the present invention also provides a hybrid optimization system for UAV-assisted edge computing, including:
[0125] The function construction module M1 is configured to construct a target fitness function according to the energy consumption required by the UAV-assisted edge computing model, wherein the energy consumption required by the UAV-assisted edge computing model includes the completion of calculation by the mobile device itself The energy consumption of tasks, the energy consumption of the UAV processing the computing tasks offloaded by the mobile device, and the circling energy consumption of the UAV;
[0126] The iterative solution module M2 is used to iteratively optimize and solve the target fitness function using a hybrid optimization algorithm under a set number of iterations;
[0127] The number of times calculation module M3 is used to calculate the number of times that the individual fitness has not changed continuously during the...
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