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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Detalles Bibliográficos
Autores principales: Alanezi, Mohammed A., Bouchekara, Houssem R. E. H., Shahriar, Mohammad S., Sha’aban, Yusuf A., Javaid, Muhammad S., Khodja, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512784/
https://www.ncbi.nlm.nih.gov/pubmed/34640885
http://dx.doi.org/10.3390/s21196568

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512784/
https://www.ncbi.nlm.nih.gov/pubmed/34640885
http://dx.doi.org/10.3390/s21196568

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