Motion-Encoded Electric Charged Particles Optimization for Moving Target Search Using Unmanned Aerial Vehicles

Motion-Encoded Electric Charged Particles Optimization for Moving Target Search Using Unmanned Aerial Vehicles

In this paper, a new optimization algorithm called motion-encoded electric charged particles optimization (ECPO-ME) is developed to find moving targets using unmanned aerial vehicles (UAV). The algorithm is based on the combination of the ECPO (i.e., the base algorithm) with the ME mechanism. This s...

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Bibliographic Details
Main Authors: Mohammed A. Alanezi, Houssem R. E. H. Bouchekara, Mohammad S. Shahriar, Yusuf A. Sha’aban, Muhammad S. Javaid, Mohammed Khodja
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
electric charged particles optimization
motion-encoded
probabilistic target finding
unmanned aerial vehicles
Online Access:https://www.mdpi.com/1424-8220/21/19/6568

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