## 3 GA Hybrid-Fog Model
### GA Hybrid-Fog Formulation
In Proceedings of the WiDS PSU, Riyadh, Saudi Arabia, 3-4 March 2024; pp. 176-182. * [PERSON] and [PERSON] (2024) [PERSON]; [PERSON] IOTD: Intelligent offloading of tasks with deadlines in Edge-Fog-Cloud computing environment using hybrid approach. _Clust. Comput._**2024**, _27_, 9873-9885. [CrossRef]
* _[PERSON] (2024)_ [PERSON] A decade of research in Fog computing: Relevance, challenges, and future directions. _Softw. Pract. Exp._**2024**, _54_, 3-23. [CrossRef]
* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON] Reliability-aware Proactive Placement of Microservices-based IoT Applications in Fog Computing Environments. _IEEE Trans. Mob. Comput._**2024**, _23_, 11326-11341. [CrossRef]
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Unmanned Aerial vehicles (UAVs): A survey on civil applications and key research challenges. _IEEE Access_**2019**, \(7\), 48572-48634. [CrossRef]
* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Joint Task Offloading and Resource Allocation Optimisation for BS-Impaired UAV-Assisted Edge Computing. In Proceedings of the International Conference on Data-Driven Optimization of Complex Systems (DOCS), Hangzhou, China, 16-18 August 2024; pp. 607-612. * _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Incentive mechanisms for online task offloading with privacy-preserving in UAV-assisted mobile Edge computing. _IEEE/ACM Trans. Netw._**2024**, _32_, 2646-2661. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Dependent task offloading with deadline-aware scheduling in mobile edge networks. _Internet Things_**2023**, _23_, 100868. [CrossRef]
* _[PERSON] et al. (2025)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Task Offloading Optimization Using PSO in Fog Computing for the Internet of Drones. _Drones_**2025**, \(9\), 23. [CrossRef]
* _[PERSON] (2020)_ [PERSON] Optimizing Task Offloading for Collaborative Unmanned Aerial Vehicles (UAVs) in Fog-Cloud Computing Environments. _IEEE Access_**2024**, _12_, 74698-74710. [CrossRef]
* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Joint task offloading and resource allocation in aerial-terrestrial UAV networks with Edge and Fog computing for post-disaster rescue. _IEEE Trans. Mob. Comput._**2024**, _23_, 8582-8600. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] ENERGENT: An energy-efficient UAV-assisted Fog-IoT framework for disaster management. _J. Commun. Netw._**2022**, _24_, 698-709. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Dynamic offloading in flying Fog computing: Optimizing IoT network performance with mobile drones. _Drones_**2023**, \(7\), 622. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON]; [PERSON] QoS-aware machine learning task offloading and power control in internet of drones. _IEEE Internet Things J._**2022**, _10_, 6100-6110. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON] Performance bottleneck analysis of drone computation offloading to a shared Fog node. In Proceedings of the IEEE ISREW, Charlotte, NC, USA, 31 October-3 November 2022; pp. 216-221. * _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Joint task offloading and resource allocation for Fog-based intelligent transportation systems: A UAV-enabled multi-hop collaboration paradigm. _IEEE Trans. Intell. Transp. Syst._**2022**, _24_, 12933-12948. [CrossRef]
* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Maximizing UAV Fog deployment efficiency for critical rescue operations: A multi-objective optimization approach. _Future Gener. Comput. Syst._**2024**, _159_, 255-271. [CrossRef]
* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning. _Drones_**2024**, \(8\), 644.