Aug 2026· International Conference on Artificial Intelligence, Big Data and Electrical Automation· Vol 14319, pp. 1431927 - 1431927-8· 0 citations· 11 references
Engineering
Abstract
Damaged transportation infrastructure and delayed, making timely emergency response difficult. To address this, we develop a multifunctional UAV location–routing optimization model with time-window and energy constraints, where UAVs perform both relief delivery and damage reconnaissance. We propose an LLM-based adaptive large neighborhood search algorithm (LLM-ALNS-Par), in which an LLM configures hyperparameters to improve search efficiency and solution quality. Numerical experiments show that LLM-guided hyperparameter settings outperform Bayesian optimization and ant colony optimization. These results demonstrate the practical value of the proposed modeling and LLM-ALNS-Par framework for post-disaster UAV emergency planning.
A new set of objective functions to maximize the number of detected victims in the earliest stages of the search while minimizing completion time is proposed and a new solution representation is introduced together with problem-specific mutation operators.
S. Stachura, Jakub A. Grzeszczak, Artur Mikitiuk et al.· GECCO Companion· 0 citations
Abstract. In recent years, the increasing frequency of natural disasters in remote and rugged areas has underscored the importance of unmanned aerial vehicles (UAVs) for rapid emergency response. This paper presents a novel approach for optimizing the placement of UAV docking stations in mountainous terrain for emergen...
Yi-Lang Lin, Zhi-Yong Wang, Yong-Jie Lin et al.· The International Archives o...· 0 citations
To address multi-UAV task allocation and dynamic obstacle avoidance in post-disaster scenarios, this paper proposes a hierarchical GOAPF-MARL (Goal-Oriented Artificial Potential Field Guided Multi-Agent Reinforcement Learning) framework. In the perception layer, a task model is built to couple casualty level and disast...
Lipeng Zhang, Jun-Jie Liu, Yue-Hui Ji et al.· 2026 IEEE 27th China Confere...· 0 citations
A priority-aware UAV route-planning framework for forest fire monitoring, with experimental evaluation based on hotspot data from Kalimantan, Indonesia, suggests that the proposed framework provides practical decision-support value for wildfire monitoring and UAV deployment planning.
A structured multi-UAV framework that separates mission optimisation into spatial, temporal, and safety layers is presented, indicating that integrating spatial planning, computation control, and safety coordination within a clearly separated layered architecture can provide an effective solution for multi-UAV disaster...
Rakan Armoush, Shidrokh Goudarzi, Muhammad Nadeem Khan et al.· Italian National Conference...· 0 citations