Multi-drones energy efficient based path planning optimization using Genetic Algorithm and Gradient Decent approach
The paper introduces an efficient energy optimization technique for multi-drones through path planning using Genetic Algorithm (GA) and Gradient Descent (GD). This approach minimizes energy consumption and avoids obstacles by optimizing path-planning decisions based on real-time drone velocity and o...
Saved in:
Main Authors: | Mustafa, Yousra A, Ali, Elmustafa S, Osman, Thana E, Khalifa, Othman Omran, Mohamed, Zainb O, Saeed, Rashid A, Saeed, Mamoon M |
---|---|
Format: | Proceeding Paper |
Language: | English English |
Published: |
IEEE
2024
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/114448/1/114448_Multi-drones%20energy%20efficient%20based.pdf http://irep.iium.edu.my/114448/7/114448_Multi-drones%20energy%20efficient%20based_SCOPUS.pdf http://irep.iium.edu.my/114448/ https://ieeexplore.ieee.org/document/10652441 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Use of machine learning on satellite and drone images for agriculture application
by: Tarique, Ausaf Hasan, et al.
Published: (2023) -
Social Internet of Things (SIoT) localization for smart cities traffic applications
by: Elnour, Razan A. M., et al.
Published: (2023) -
A stable energy balancing based clustering routing protocol for IoUT using meta-heuristic technique
by: Ali, Elmustafa Sayed, et al.
Published: (2024) -
Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based
by: Saeed, Mamoon M, et al.
Published: (2024) -
Real-Time personalized stress detection from physiological signals
by: Syazani, Muhammad, et al.
Published: (2015)