Optimization of the distance-constrained multi-based multi-UAV routing problem with simulated annealing and local search-based matheuristic to detect forest fires …

O Ozkan - Applied Soft Computing, 2021 - Elsevier
Forests cover nearly a third of the Earth's land area, and they are a key factor for all life on
Earth, but unfortunately, forest fires are the greatest danger to their presence. The wildfires …

UAV routing by simulation-based optimization approaches for forest fire risk mitigation

O Ozkan, S Kilic - Annals of Operations Research, 2023 - Springer
The magnitude of the recent forest fires, the time required to extinguish them, and the
damage they caused have attracted the attention of all humanity. If the current trend …

The optimization of UAV routing problem with a genetic algorithm to observe the damages of possible Istanbul earthquake

M Halat, Ö Özkan - Pamukkale Üniversitesi Mühendislik Bilimleri …, 2021 - dergipark.org.tr
In this study, the problem is to find a route for a UAV that takes off from Istanbul to observe
the damages that may occur after the possible Istanbul earthquake within the first 24 hours …

Drone routing and optimization for post-disaster inspection

S Chowdhury, O Shahvari, M Marufuzzaman… - Computers & Industrial …, 2021 - Elsevier
Aerial drones have received increased attention by humanitarian organizations due to their
potential to serve/monitor a disaster-affected region. In this study, we propose a mixed …

Coordinated routing system for fire detection by patrolling trucks with drones

M Momeni, H Soleimani, S Shahparvari… - International Journal of …, 2022 - Elsevier
Vehicle routing problem with drones (VRPD) is an extension of classical vehicle routing,
which involves the usage of trucks and drones. Nowadays, bushfires are taken into account …

UAV routing with genetic algorithm based matheuristic for border security missions

O Ozkan, M Kaya - An International Journal of Optimization and Control …, 2021 - ijocta.org
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) are a good alternative for the
problem of ensuring the security of the borders of the countries. UAVs are preferred because …

Simulated annealing algorithm performance on two-echelon vehicle routing problem-mapping operation with drones

RI Liperda, AANP Redi… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Flood is one of the most threatening hazards in Indonesia. The disaster may affect road
disruptions. Disaster mapping with the combination of ground vehicles and drones would be …

Autonomous UAV path-planning optimization using metaheuristic approach for predisaster assessment

Z Qadir, MH Zafar, SKR Moosavi, KN Le… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In this article, different state-of-the-art metaheuristic algorithms are analyzed to incorporate
the collision-free path-planning approach for UAVs in a disaster situation. The efficient path …

[PDF][PDF] A self-adaptive UAV routing for forest fire risk mitigation: a conceptual model

S Kilic, O Ozkan - Proceedings of the 2019 Summer Simulation …, 2019 - researchgate.net
Forests have crucial importance for the sustainability of Earth and humanity and one of the
biggest threats to the existence of forests are the fires. This paper proposes a conceptual …

Collaborative hybrid aerial and ground vehicle routing for post-disaster assessment

AANP Redi, BM Sopha, AMS Asih, RI Liperda - Sustainability, 2021 - mdpi.com
Hybrid aerial and ground vehicles are seen as a promising option for deployment in a post-
disaster assessment due to the risk of infrastructure damage that may hinder the assessment …