An Improved Equilibrium Optimizer with Application in Unmanned Aerial Vehicle Path Planning

An Improved Equilibrium Optimizer with Application in Unmanned Aerial Vehicle Path Planning

The unmanned aerial vehicle (UAV) path planning problem is a type of complex multi-constraint optimization problem that requires a reasonable mathematical model and an efficient path planning algorithm. In this paper, the fitness function including fuel consumption cost, altitude cost, and threat co...

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Bibliographic Details
Main Authors: An-Di Tang, Tong Han, Huan Zhou, Lei Xie
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
unmanned aerial vehicle
optimization algorithm
equilibrium optimizer
constrained optimization
path planning
Online Access:https://www.mdpi.com/1424-8220/21/5/1814

Internet

https://www.mdpi.com/1424-8220/21/5/1814

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