Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization

This paper presents a novel hybrid optimization method to solve the resource allocation problem for multi-target multi-sensor tracking of drones. This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms t...

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Bibliographic Details
Main Author: Abu Zitar, Raed (author)
Other Authors: Alhadhrami, Esra Ebrahim (author), Abualigah, Laith (author), Barbaresco, Frederic (author), Seghrouchni, Amal ElFallah (author)
Published: 2024
Subjects:
Optimum sensors allocation
Drones
Multi-target tracking
Complex environment
Metaheuristic algorithms
Online Access:https://depot.sorbonne.ae/handle/20.500.12458/1533
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https://depot.sorbonne.ae/handle/20.500.12458/1533

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