Multi-drones energy efficient based path planning optimization using Genetic Algorithm and Gradient Decent approach

Mustafa, Yousra A and Ali, Elmustafa S and Osman, Thana E and Khalifa, Othman Omran and Mohamed, Zainb O and Saeed, Rashid A and Saeed, Mamoon M (2024) Multi-drones energy efficient based path planning optimization using Genetic Algorithm and Gradient Decent approach. In: 9th International Conference on Mechatronics Engineering (ICOM 2024), 13th - 14th August 2024, Kuala Lumpur, Malaysia.

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Abstract

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 obstacle proximity. GD complements GA by refining path fitness through distance measurements, allowing drones to dynamically adjust their routes amid environmental and energy constraints. Experimental results demonstrate that the hybrid GA/GD approach significantly reduces energy usage while maintaining safe navigation and optimizing path costs. Compared to GA alone, the hybrid method achieves a remarkable 22.62% average reduction in energy consumption, highlighting its superior performance in energy-efficient multi-drone path planning.

Item Type:	Proceeding Paper (Plenary Papers)
Additional Information:	4119/114448
Uncontrolled Keywords:	Energy Efficiency, Path Planning Optimization, Multi-drones, Genetic Algorithm, Gradient Decent, Energy utilization
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	17 Sep 2024 14:24
Last Modified:	25 Sep 2024 10:40
URI:	http://irep.iium.edu.my/id/eprint/114448

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