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• Cooperative multi-task assignment modeling of UAV based on particle swarm optimization
  Unmanned Ariel Vehicles (UAVs) are interconnected to perform specific tasks through self-routing and air-borne communications. The problem of automated navigation and adaptive grouping of the vehicles results in improper task completion and backlogs. To addres…
  crossref Xiaoming Zhou, Kun Yang 2024-05-24T12:15:49Z 置信度 0.82 taskcs.rocs.nidistributed computingbenchmark
• A Planning Method for Operational Test of UAV Swarm Based on Mission Reliability
  The unmanned aerial vehicle (UAV) swarm plays an increasingly important role in the modern battlefield, and the UAV swarm operational test is a vital means to validate the combat effectiveness of the UAV swarm. Due to the high cost and long duration of operati…
  crossref Jingyu Wang, Ping Jiang, Jianjun Qi 2024-05-20T09:10:56Z 置信度 0.76
• SYNERGISTIC CONFLICT-FREE UAV SWARM MOVEMENT MODELING USING METAHEURISTIC APPROACHES
  The paper considers a new synergistic conflict-free movement model for unmanned aerial vehicle (UAV) swarm on the battlefield, based on the metaheuristic approach of particle swarm optimization (PSO). The paper presents an improved algorithm that ensures effec…
  crossref O. Kompaniiets, I. Kliushnikov, M. Kasatkin 2025-01-27T21:05:23Z 置信度 0.82 cs.roeess.syelectrical engineering, electronic engineering, information engineeringcomputer and information scienceseess.sp
• Multi-hop Diffused Graph Convolution for Resilient UAV Swarm Networks
  Massive destructions occurring in Unmanned Aerial Vehicle (UAV) swarm networks can cause the communication network split (CNS) issue. In this paper, we proposed a graph convolution-based framework with destruction embedding and multi-hop diffusing (DEMD), to c…
  crossref Huan Lin, Lianghui Ding, Siheng Chen, Feng Yang 等 2024-07-31T20:38:48Z 置信度 0.76
• Fractional-Order Event-Triggered Formation Control for Multi-UAV Systems with Collision Avoidance
  crossref Tiaoping Fu, Hao Xiong, Hongbin Deng, Xinglei Jiang 2024-06-14T19:01:29Z 置信度 0.66
• Energy-Efficient UAV Swarm Assisted MEC With Dynamic Clustering and Scheduling
  In this paper, the energy-efficient unmanned aerial vehicle (UAV) swarm assisted mobile edge computing (MEC) with dynamic clustering and scheduling is studied. In the considered system model, UAVs are divided into multiple swarms, with each swarm consisting of…
  crossref Jialiuyuan Li, Jiayuan Chen, Changyan Yi, Tong Zhang 等 2024-07-03T17:25:49Z 置信度 0.76
• Research on autonomous decision-making of UAV swarm based on neural network algorithm
  This article focuses on typical unmanned aerial vehicle (UAV) cluster autonomous collaborative reconnaissance mission scenarios, constructs UAV classes in Matlab, and effectively constructs UAV autonomous decision-making models using two different algorithms; …
  crossref Xin Shen 2024-08-14T03:42:57Z 置信度 0.82 computer and information scienceselectrical engineering, electronic engineering, information engineeringartificial intelligencecs.rosystems and control
• Metropolis criterion pigeon-inspired optimization for multi-UAV swarm controller
  This paper presents a new multiple unmanned aerial vehicle swarm controller based on Metropolis criterion. This paper presents the design of a controller, utilizing the improved Metropolis criterion pigeon-inspired optimization (IMCPIO) and proportional-integr…
  crossref Jinghua Guan, Hongfei Cheng 2024-03-08T09:22:38Z 置信度 0.82 electrical engineering, electronic engineering, information engineeringunderwatersystems and controleess.sycontrol theory
• Cooperative area searching method for UAV swarm based on wolf pack intelligence
  For the cooperative searching problem of UAV swarm in unknown environment without prior information, an area covering search method inspired by swarm intelligence is proposed. First, the grid method is used to model the search environment discretely, and the U…
  crossref jinqiang hu 2024-07-21T17:42:06Z 置信度 0.76
• Research on UAV formation optimization based on emergence effect of swarm intelligence
  In order to explore the application of the emergence effect of swarm intelligence in the formation optimization of unmanned aerial vehicle (UAV), this study conducted an in-depth study on the control strategy of UAV formation by constructing a theoretical mode…
  crossref Lejiang Guo, Wangcheng Zhan, Fan Wu, Shijia Xu 2024-11-12T18:16:20Z 置信度 0.76
• UAV 3-D Path Planning Based on Particle Swarm Optimization Algorithm in Complex Terrain
  To solve UAVs’ problems of inefficient search, redundant paths, and local optimal solutions in complex terrain, this study proposes an improved method based on the particle swarm optimization (PSO) algorithm. First, it built a complex terrain environment model…
  crossref Mengjie Yang, PengJun Mao 2024-10-02T18:15:36Z 置信度 0.76
• Obstacle-Aware UAV Swarm Deployment for User Coverage Using Deep Reinforcement Learning
  During military operations, Unmanned Aerial Vehicles (UAVs) can act as aerial base stations to provide temporary communication services for ground users. Modern warfare often takes place in urban environments, where obstacles like trees and buildings can imped…
  crossref Shilan He, Kyo Hyun Kim, Matthew Caesar, Jae Kim 等 2024-12-06T18:47:40Z 置信度 0.76
• Force Demand Planning of UAV Cluster Adversarial via Hybrid Group Swarm Optimization
  A force demand planning method based on Hybrid Group Swarm Optimization (HGSO) is proposed for unmanned aerial vehicle (UAV) swarm confrontation. Firstly, according to the information on UAVs' maneuverability and load performance, the mathematical model of UAV…
  crossref Jingyan Zhao, Xiaoxiang Hu, Hanyu Qian, Wenjie Guo 2024-06-18T17:28:53Z 置信度 0.76
• Model Construction and Fusion Algorithm Analysis for Defense Against Threats from UAV Swarm
  To address the defense against multiple air defense weapons facing UAV swarm, we focus on the mutual influence of the layout and firepower distribution of different types of air defense weapons. In this regard, a diversified air defense weapon defense strategy…
  crossref Minkun Guo, Yun Xu, Chengjun Xu 2024-12-24T19:10:01Z 置信度 0.76
• Network analysis of decentralized fault-tolerant UAV swarm coordination in critical missions
  Unmanned aerial vehicles (UAVs) have gained prominence across various sectors for their versatile applications. While their advantages are evident, addressing concerns associated with their deployment is essential to ensure reliability. This study presents an …
  crossref Indu Chandran, Kizheppatt Vipin 2024-05-01T21:33:46Z 置信度 0.82 computer sciencecomputer and information scienceselectrical engineering, electronic engineering, information engineeringroboticscs.ro
• A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming
  crossref Zhenzu Bai, Haiyin Zhou, Jianmai Shi, Lining Xing 等 2024-04-15T06:41:36Z 置信度 0.66
• Overview of Anti-jamming Strategy for UAV Radar in Naval Battlefields
  crossref Wen Li, Hu-cheng Pei, Guang-zhou Qu 2024-06-17T19:02:28Z 置信度 0.63
• Beampattern Analysis of Uplink Cooperative Beamforming of UAV Swarm to LEO Satellite
  Cooperative beamforming (CB) is a promising approach to improve the communication range of nodes constrained by hardware limitations. It is a technique in which multiple spatially separated nodes synchronize the transmission phase to optimize the power of the …
  crossref Junggon Seo, Byungha You, Haejoon Jung 2025-01-14T19:40:10Z 置信度 0.76
• A Distributed Task Allocation Algorithm for UAV Swarm Based on Local Information
  This article proposes a distributed task allocation algorithm based on local information for unmanned aerial vehicle (UAV) swarm. A Part of the UAVs which are in the information exchange range participate in the local range auction. The auction members will ch…
  crossref Junfu Zhang, Chengjin Liu, Tao Liu, Shiqi Jiang 2025-03-27T02:21:14Z 置信度 0.76
• A Virtual Spring-Damper Approach for UAV Swarm Formation and Decentralised Collision Avoidance
  This paper introduces a method for controlling UAV swarm formations and avoiding collisions using the Virtual Spring-Damper (VSD) approach. This approach draws upon classical mechanical spring-damper systems, employing displacement and velocities to generate a…
  crossref Luis Mejias, Pedro Arias-Perez, Javier Melero-Deza, Pascual Campoy 2024-06-19T17:22:59Z 置信度 0.76
• Research on UAV Path Planning Based on Particle Swarm Optimization and Soft Actor-Critic
  This study proposes a groundbreaking path planning method in UAV path planning in complex 3D environment, I-PSO-SAC, which seamlessly integrates Particle Swarm Optimization (PSO) with the Soft Actor-Critic (SAC) reinforcement learning algorithm to address thes…
  crossref Jionghui Chen, Lisang Liu, Youyuan Zhang, Wenwei Chen 等 2025-02-13T18:29:08Z 置信度 0.76
• Integration of Condition Information in UAV Swarm Management to increase System Availability in dynamic Environments
  The approach of prognostics and health management (PHM) focuses on the real-time health assessment of a system under its actual operating condition and even extending this by the prediction of the future state based on up-to-date system information. This pursu…
  crossref Lorenz Dingeldein 2024-06-27T01:30:49Z 置信度 0.82 computer scienceelectrical engineering, electronic engineering, information engineeringcs.roreliabilityrobotics
• Intelligent anti-jamming scheme of UAV swarm based on DQN
  Unmanned Aerial Vehicle (UAV) ad-hoc networks, characterized by distributed and dynamic topologies, are susceptible to interference attacks. This study delves into strategies to enhance the reliability and performance of UAV networks, with a specific focus on …
  crossref Ziye Lin 2024-04-04T05:52:40Z 置信度 0.76
• Blockchain-based entity access control scheme for ubiquitous UAV swarm tasks
  crossref Hui Xie, Teng He, Shengjun Wei, Changzhen Hu 2024-12-19T02:36:47Z 置信度 0.66
• Modeling and Simulation Analysis of Multi-Agent in UAV Swarm Attack and Defense Combat
  UAV swarm attack and defense simulation environment was constructed using the AnyLogic simulation platform. Firstly, intelligent models were developed, covering various equipment such as UAVs, surveillance radars, electro-optical detection devices, laser equip…
  crossref Junqian Li, Wangxu Li, Chengjun Xu 2024-10-29T17:28:51Z 置信度 0.76
• UAV Swarm Rounding Strategy Based on Deep Reinforcement Learning Goal Consistency with Multi-Head Soft Attention Algorithm
  Aiming at the problem of target rounding by UAV swarms in complex environments, this paper proposes a goal consistency reinforcement learning approach based on multi-head soft attention (GCMSA). Firstly, in order to make the model closer to reality, the reward…
  crossref Zhaotian Wei, Ruixuan Wei 2024-12-03T11:48:56Z 置信度 0.82 cs.rotaskcs.lgreinforcement learningcs.cv
• Security Analysis of UAV Swarm Based on Smart Contracts
  Blockchain technology, characterized by its decentralized nature, traceability, automated operations, and unalterability, is well-suited to address the security requirements of UAV swarms at both theoretical and technical levels. This study delves into identif…
  crossref Ximeng Xu, Jihui Xu, Ying Fu, Wenjie Tian 2024-09-09T17:35:50Z 置信度 0.76
• An Algorithm Design for Constrained Noncooperative Games and Its Application to UAV Swarm
  This paper introduces a novel adaptive algorithm for seeking the Nash equilibrium (NE) in noncooperative games with local inequality constraints. Our work is distinguished by the introduction of an adaptive penalty technique, which ensures that players' decisi…
  crossref Rui Xue, Jun Xie, Haoyu Tian, Mingxin Kang 2025-01-16T18:31:24Z 置信度 0.76
• Multi-UAV Collaborative Target Consensus Detection Using Enhanced Particle Swarm Optimization
  Multi-UAV collaborative perception with region coverage has important applications in various fields such as post-disaster rescue, agricultural pest control, and enemy rear reconnaissance. The current region coverage algorithms focus on covering an area with t…
  crossref Xinhua Wang, Mingzhu Wei, Xiaomei Xie, Hongyu Zhang 等 2024-08-19T17:25:38Z 置信度 0.76
• Evaluation and Evolution Method of Command and Control Structures in UAV Swarm Operations Based on Potential Energy
  Based on the analysis of factors influencing the combat mission process, considering heterogeneous nodes, constraint relationships, and various influencing factors, this study proposes a command and control structure evaluation method based on the concept of p…
  crossref Yujuan Huang, Yaoqin Zhu 2025-02-14T18:25:13Z 置信度 0.76
• An improved sand cat swarm optimization for moving target search by UAV
  crossref Yanbiao Niu, Xuefeng Yan, Yongzhen Wang, Yanzhao Niu 2023-10-25T08:51:24Z 置信度 0.64
• Mission-Oriented Heterogeneous UAV Swarm Capability Configuration Optimization Method
  With the development of artificial intelligence and unmanned aerial vehicle (UAV) technology, the application of UAV swarms in a variety of missions has become increasingly widespread. Focusing on how to fully leverage the potential of heterogeneous UAV swarms…
  crossref Hui Tang, Tielin Ma, Jie Wang, Lizhi Wang 2025-01-22T18:45:23Z 置信度 0.76
• Safety Assurance in Multi-UAV Formation Tracking Control Amidst Missile Threats
  crossref Haoqi Li, Jiangping Hu, Qingrui Zhou, Maolong Lv 等 2024-06-14T19:01:29Z 置信度 0.66
• Screening Method of Distributed Cooperative Navigation Factors for Uav Swarm
  Aiming at the problem of factor screening in distributed collaborative navigation of dense UAV swarm, an efficient distributed collaborative navigation factor screening method is proposed. The method considered the balance between computing load and positionin…
  crossref Zhang Can, Li Qun, Lun WeiCheng, Guo Dong 2025-05-26T16:22:04Z 置信度 0.76
• Research on Improving Dynamic Multi Swarm Particle Swarm Optimization Algorithm for UAV Path Planning
  crossref 旭 王 2024-09-06T02:05:28Z 置信度 0.66
• Multiobjective Spherical Vector-Based Particle Swarm Optimisation for 3D UAV Path Planning
  With the wide application of UAVs in environmental monitoring, security inspection, and military security, UAV path planning becomes more important. A multiobjective particle swarm optimisation based on spherical vector for 3D UAV path planning is proposed in …
  crossref Mengxuan Zhang, Kun Ma, Long Liu, Wenbo Zhang 2024-10-10T17:21:28Z 置信度 0.76
• Cooperative Formation Control of Fixed-Wing UAV Based on L1 Guidance Law Considering Collision Avoidance
  crossref Keyuan Yue, Mingrui Hao, Yan Zhen, Xinyu Liu 2024-07-11T08:02:28Z 置信度 0.66
• Refinement of Collaborative Multitasking and Multi-Objective Allocation in Heterogeneous UAV Swarms An Approach Informed by Decomposition Learning and Particle Swarm Optimization
  The utilization of Unmanned Aerial Vehicle(UAV) swarms has witnessed a remarkable rise across diverse domain, accompanied by an escalating complexity of challenges. This study addresses these challenges by concurrently considering task rescue value of and UAV …
  crossref Lingfeng Rao, Yong Zhang, Na Geng, Guangsong Guo 2024-08-15T11:49:00Z 置信度 0.82 computer and information scienceselectrical engineering, electronic engineering, information engineeringcs.lgcomputer scienceeess.sp
• A UAV swarm simulation system for operator cognitive analysis
  In recent years, UAVs have played an increasingly important role in the military and civilian fields, especially UAVs swarm with high mission execution and diverse execution scenarios. The operator should have high proficiency in manipulation due to the comple…
  crossref Yunduo Feng, Xiaochuan Zhao, Huapeng Liu, Leiming Jin 等 2024-08-07T16:14:24Z 置信度 0.76
• Data-Driven Fault Detection and Diagnosis for UAV Swarm Systems
  With the widely application and promotion of Unmanned aerial vehicle (UAV) technology, UAV swarms are widely used in military and civilian fields by taking advantage of group collaboration. It has huge economic and national defense value. The safety and reliab…
  crossref Li Runze, Jiang Bin, Yu Ziquan, Liu Ningyun 2024-10-07T15:38:14Z 置信度 0.82 electrical engineering, electronic engineering, information engineeringeess.spcomputer and information sciencescs.rocs.ni
• Overview of cooperative UAV swarm localization
  crossref Runzong Shangguan, Lin Lin, Yanbo Zhou 2025-01-02T21:19:55Z 置信度 0.66
• Research on Optimization Method for Configuration Connection of Multi UAV Cluster Collaborative Navigation
  crossref Chen Gu, Rong Wang, Weicheng Zhao, Zhi Xiong 等 2024-06-14T18:02:53Z 置信度 0.63
• Force Planning for Anti-UAV Protection Tasks of Power Grid via Grouping Competitive Swarm Optimization
  A force demand planning method based on grouping-based swarm optimization algorithm (GCSO) is proposed for the anti-VAV swarm protection task of the grid. Firstly, based on information such as the escort radius, maneuverability, enemy VAV attack coverage, and …
  crossref You Xing, Yashan Liang, Yunfeng Xia, Qishuai Liang 2024-11-19T18:38:50Z 置信度 0.76
• Task Allocation in UAV Swarm Zone Breach: A Dynamic Game-Theoretical Approach
  In this paper, the UAV swarm breach zone task allocation problem is modeled using potential games, incorporating the upper limit on UAVs per zone as a soft constraint in the utility function. Due to the dynamic nature of combat, the utility functions dynamical…
  crossref Yanzhen Wang, Haoxiang Zhang, Wangli He 2025-01-22T18:45:23Z 置信度 0.76
• Research on the Application of Hybrid Particle Swarm Algorithm in Multi-UAV Mission Planning with Capacity Constraints
  With the rapid development of UAV technology in various industries, it is particularly urgent to solve the complex multi-UAV multi-target problem. The application scenarios of this study are the UAV has the maximum load limit, the maximum range limit, a single…
  crossref Jingzhi Bi, Wei Huang, Bei Li, Lingbo Cui 2025-01-22T18:45:23Z 置信度 0.76
• Joint Dynamic Role Switching Scheme and Cooperative Task Offloading Optimization for UAV Swarm-Enabled Edge Computing
  Due to the high flexibility and wide coverage, unmanned aerial vehicle (UAV) has always been a popular issue in the area of mobile edge computing. UAV swarms can be deployed on-site to serve user equipment (UE) and handle offloading tasks. However, it’s ineffi…
  crossref Kun Lu, Tao Xu, Mingchu Li, Zhihua Wang 2024-09-09T17:35:05Z 置信度 0.76
• Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method
  Aiming at the formation problem of the multi-rotor UAV swarm, this paper adopts a multi-rotor UAV swarm formation control method based on a stress matrix to ensure the stability of multi-rotor UAV swarm formation. On the basis of achieving the target formation…
  crossref Zhenyue Qiu, Lei Zhang, Yuan Chi, Zequn Li 2025-01-01T14:35:42Z 置信度 0.82 eess.spcs.nieess.sycs.rocs.it
• A Dynamic Topology-Considered UAV Swarm Path Planning Method in City Environment
  In modern urban environments, precise navigation and efficient path planning for drone swarms are crucial for enhancing aerial operation performance. This study proposes an innovative drone swarm path planning framework, considering the dynamic topology and in…
  crossref Lefu Liu, Yueqiang Sun, Peifeng Wu, Hui Xie 等 2024-12-30T19:20:36Z 置信度 0.76
• Design Concept of Angular Controller for Quadrotor UAV Based on Improved Particle Swarm Optimization Algorithm PID Control
  The control of unmanned aerial vehicles (UAVs) is a key research problem in the field of UAVs. PID control is currently one of the most widely used methods for this issue. However, the classical PID control structure suffers from difficulty tuning control para…
  crossref Yuqing Cheng 2024-07-25T04:25:23Z 置信度 0.82 control theoryeess.symath.occontrolrobot
• Research on Autonomous Decision-Making of Multi-UAV Air Combat Based on Deep Reinforcement Learning
  crossref Zhiming Zhou, Hongmin Qi, Zhen Liu, Dianwei Qian 2024-06-14T18:02:53Z 置信度 0.66
• Intrinsic Resilience Measurement and Analysis for UAV Swarm Systems
  The rapid development of the low-altitude economy has propelled research focus towards technology pertaining to Unmanned Aerial Vehicle (UAV) swarms. The operational environment of UAV swarms is fraught with uncertainties and risks, posing challenges to their …
  crossref Yingyi Li, Rui Kang, Chao Yang, Qingyuan Zhang 2025-03-31T23:18:00Z 置信度 0.76
• DECISION-MAKING HETEROGENEOUS UAV SWARM SYSTEM WITH NEURAL NETWORK-ENHANCED REINFORCEMENT LEARNING
  This article explores how artificial intelligence and automation are significantly impacting unmanned aerial vehicles (UAVs), moving from traditional roles to versatile applications. The paper addresses the problem of optimizing the composition of a UAV swarm …
  crossref Y. O. ALBREKHT, A. V. PYSARENKO 2024-01-30T12:22:03Z 置信度 0.82 computer sciencecomputer and information sciencesartificial intelligenceelectrical engineering, electronic engineering, information engineeringcs.lg
• Satellite and UAV Swarm Integrated Space-Air Communication Based on 5G Non-Terrestrial Networks
  Traditional UAV systems have limited control range and poor real-time performance. This paper proposes a satellite-UAV integrated space-air network model, where UAV swarms autonomously construct a flying ad hoc network (FANET), and low earth orbit (LEO) satell…
  crossref Siyang Shi, Li Zhou, Kun Lan, Xinfeng Tang 等 2024-12-17T19:07:41Z 置信度 0.76
• A Distributed Critical Node Detection Algorithm for UAV Swarm Networks
  Unmanned aerial vehicle (UAV) swarm can be widely used in cooperative detection and strike across wide geographic areas. To support the collaboration of multiple UAVs, a connected network topology is essential. Thus, critical nodes, whose removal will disconne…
  crossref Zihang He, Haosong Gou, Xiong Wu, Gaoyi Zhang 等 2025-02-28T18:40:05Z 置信度 0.76
• PREDICTION OF UAV POSITIONS USING PARTICLE SWARM OPTIMISATION-BASED KALMAN FILTER, 312-319.
  crossref Jian Zhou, Yu Su, Yuhe Qiu, Xiaoyou He 等 2024-01-20T11:12:02Z 置信度 0.66
• UAV Swarm Cooperative Dynamic Target Search: A MAPPO-Based Discrete Optimal Control Method
  Unmanned aerial vehicles (UAVs) are commonly employed in pursuit and rescue missions, where the target’s trajectory is unknown. Traditional methods, such as evolutionary algorithms and ant colony optimization, can generate a search route in a given scenario. H…
  crossref Dexing Wei, Lun Zhang, Quan Liu, Hao Chen 等 2024-05-22T10:00:11Z 置信度 0.82 reinforcement learningcs.lgcs.aicomputer sciencecs.ma
• Cybersecurity of UAV Swarm Communication using VPN and RIS Technologies Integration: Protected Assets, IMECA Analysis and Countermeasures
  The paper explores the integration of virtual private network (VPN) and reconfigurable intelligent surface (RIS) technologies to improve the cybersecurity of communications in unmanned aerial vehicle (UAV) swarms. Using the IMECA (Intrusion Modes and Effects C…
  crossref Ruslan Demura, Vyacheslav Kharchenko, Vitaly Levashenko 2025-08-21T18:18:25Z 置信度 0.76
• Transition Trajectory Planning for a VTOL Morphing UAV Based on Improved Pigeon-Inspired Optimization
  crossref Duo Gao, Boyi Chen, Teng Liao, Wenjun Xu 等 2024-06-14T18:02:53Z 置信度 0.63
• Reinforcement learning based fission-fusion for heterogeneous UAV swarm under dynamic interference environments
  The control of unmanned aerial vehicle (UAV) swarms represents a complex field of study, chiefly due to the conflicting behaviors observed among individual UAVs and the impact of external movement disturbances on the swarm. However, the fission-fusion dynamics…
  crossref yufeng wang, Xiaorong Zhang, qing wang, zhilan zhang 等 2024-08-17T04:47:10Z 置信度 0.76
• Computational offloading into UAV swarm networks: a systematic literature review
  Unmanned Aerial Vehicle (UAV) swarms have emerged as a promising technology for various applications, such as delivery, surveillance, and infrastructure inspection. An additional feature of deploying large UAV swarms is their use in mobile offloading networkin…
  crossref Asrar Ahmed Baktayan, Ammar Thabit Zahary, Axel Sikora, Dominik Welte 2024-09-07T18:01:50Z 置信度 0.76
• Operational Evaluation of UAV Swarm Precision Strikes with Agent Based Modeling and Simulation
  The evaluation of operational effectiveness for Unmanned Aerial Vehicle (UAV) swarm precision strike missions is critical in the contemporary unmanned warfare. Nonetheless, current evaluation methods often overlook the emergence and dynamic variability inheren…
  crossref Zhengzhi Lu, Yufeng Chen, Li Chen, Yanxiang Ling 等 2024-12-27T19:10:12Z 置信度 0.76
• Cooperative Navigation for UAV Swarm Based on Gaussian Particle Belief Propagation
  Cooperative navigation realized through information interaction among UAVs can improve the navigation performance of UAVs in complex environments. In this paper, we construct a distributed cooperative navigation framework that fuses measurements from various o…
  crossref Xu Jiang, Mingxing Chen, Jun Xiong, Yuheng Zhang 等 2025-01-14T19:43:02Z 置信度 0.76
• Adoption of UAV Swarm Technology: Survey and Opinions of Firefighters
  As the prevalence of wildfires has increased over the last two decades, the value of early detection and engagement has also increased. Fire services have begun implementing Uncrewed Aerial Vehicles (UAVs) in their wildfire responses. However, more research mu…
  crossref Alex McConville, Georgios Tzoumas, Lucio R. Salinas, Marcela Munera 等 2024-06-19T17:24:25Z 置信度 0.76
• Adaptive Graph-Based Federated Multi-Agent DRL for 6G UAV Swarm Efficiency
  In disaster recovery scenarios where communication infrastructure is compromised, unmanned aerial vehicles (UAVs) are essential for real-time communication and computational services. However, optimizing UAV swarm performance for ground terminals involves addr…
  crossref Bishmita Hazarika, Keshav Singh, Trung Q. Duong 2025-03-03T13:28:09Z 置信度 0.76
• Optimizing Energy Consumption of the UAV Swarm Performing Coverage Task with Stochastic Sweep Coverage Control Algorithm
  Rotary-wing unmanned aerial vehicles (UAV) are commonly used today. Their versatility helps researchers and engineers to find a wide variety of implementations for those objects. A specific branch of research focuses on UAV swarms, which is valuable when the m…
  crossref Krzysztof Falkowski, Michal Duda 2024-07-23T17:26:19Z 置信度 0.76
• UAV Swarm Confrontation Based on Multi-Agent Soft Actor-Critic Method
  The UAV swarm confrontation learning environ-ment faces complex challenges due to its high dimensionality, nonlinearity, incomplete information, and continuous action space. To address these issues, this study proposes a multi-agent soft actor-critic (MASAC) d…
  crossref Yongkang Jiao, Wenxing Fu, Xinying Cao, Yaping Wang 等 2025-01-22T18:45:23Z 置信度 0.76
• Cooperative Intelligence-Based UAV Swarm for Establishing Emergency Communication
  Over the past decade, the Unmanned Aerial Vehicle (UAV) swarm has emerged as a disruptive force reshaping our lives and work. Benefiting from its fast and flexible deployment capabilities, UAV swarms have been widely applied to emergency communications. In the…
  crossref Shan Huang, Haipeng Yao, Tianle Mai, Di Wu 等 2024-08-20T11:34:42Z 置信度 0.76
• A Bio-Inspired Adaptive Formation Architecture Based on Multi-Agents with Application to UAV Swarm
  This paper introduces a novel architecture for bio-inspired adaptive formation and system stability in unmanned aerial vehicle (UAV) swarms during complex operations. Utilizing a Multi-Agent System (MAS) framework, this architecture incorporates various bio-in…
  crossref Jun Wang, Yuchen Zhang, LeiMin He, Delin Li 等 2025-01-22T18:45:23Z 置信度 0.76
• Research on delay error of UAV swarm repeater deception against networked radar
  In modern warfare, using a UAV swarm as an effective countermeasure to deceive and interfere with hostile networked radar is a common tactic. However, when facing a complex combat environment, the digital storage and forwarding equipment carried by the UAV swa…
  crossref Wen Wen, Chenguang Shi, Jianjiang Zhou 2024-03-28T16:56:07Z 置信度 0.76
• Target Assignment in the Multi-UAV Combat Based on Distributed Compensation Auction Algorithm with Fixed-Time Consensus Protocol
  crossref Yiyang Chen, Yongzhao Hua, Jianglong Yu, Xiwang Dong 2024-06-14T18:02:53Z 置信度 0.66
• Optimization of Multitask Scheduling for Swarm UAV System with Charging Platform
  Swarm UAV technology have potential application in a wide range because of its ability to utilize large number, low cost and unified scheduled UAVs. Unified scheduling is tasks and resources allocation through UAV scheduling optimization, which is the key prob…
  crossref Ke Zhijie, Xu Guoning, Cai Rong, Li Yongxiang 等 2024-10-15T00:45:56Z 置信度 0.82 computer scienceeess.sycs.nielectrical engineering, electronic engineering, information engineeringcomputer and information sciences
• Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach.
  The rapid advancement of unmanned aerial vehicles (UAVs) in disaster response and environmental monitoring has underscored the growing importance of real-time object detection within UAV swarm networks. However, the non-independent and identically distributed …
  europepmc 2026 置信度 0.94 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringcs.lgcs.ai
• Context-Aware Multi-Agent Architecture for Wildfire Insights.
  Wildfires are environmental hazards with severe ecological, social, and economic impacts. Wildfires devastate ecosystems, communities, and economies worldwide, with rising frequency and intensity driven by climate change, human activity, and environmental shif…
  europepmc 2026 置信度 0.83
• An Improved Red-Billed Blue Magpie Algorithm and Its Application to Constrained Optimization Problems.
  The Red-Billed Blue Magpie Optimization (RBMO) algorithm is a metaheuristic method inspired by the foraging behavior of red-billed blue magpies. However, the conventional RBMO often suffers from premature convergence and performance degradation when solving hi…
  europepmc 2025 置信度 0.87
• Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment.
  pubmed Yang L, Hao Y, Xu J, Li M 2024 置信度 0.74
• MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats.
  To improve the global search efficiency and dynamic adaptability of the Sand Cat Swarm Optimization (SCSO) algorithm for UAV path planning in complex 3D environments, this study proposes a Modified Sand Cat Swarm Optimization (MSCSO) algorithm by integrating c…
  europepmc 2025 置信度 0.87
• An intelligent bio-inspired multi-objective and scalable UAV-assisted clustering algorithm in flying ad hoc networks.
  The increasing use of Unmanned Aerial Vehicles (UAVs) in mission-critical operations has intensified the need for efficient, scalable, and adaptive clustering in Flying Ad Hoc Networks (FANETs). This paper presents a clustering optimization framework based on …
  europepmc 2026 置信度 0.87
• Harnessing multi-modal deep learning for multi-drone navigation-based trajectory prediction system.
  In recent times, unmanned aerial vehicles (UAVs), also known as drones find useful in different application areas like military, healthcare, logistics, image and video mapping, precision farming, wireless communication and aerial surveillance. Research works o…
  europepmc 2026 置信度 0.87
• A Hybrid Metaheuristic for High-Dimensional Constrained Optimization: Applications to Logistics and UAV Path Planning.
  Inspired by the hovering, diving, and cooperative hunting behaviors of the pied kingfisher, the Pied Kingfisher Optimizer (PKO) has demonstrated competitive performance in optimization tasks. However, it exhibits several phase-specific limitations, including u…
  europepmc 2026 置信度 0.87
• Multi-Agent Deep Reinforcement Learning for Cooperative Path Planning of UAV Swarms
  Abstract Collaborative path planning for UAV swarms in dynamic uncertain environments faces dual challenges of partial observability and cooperation mechanism design. The decentralized decision-making nature of multi-agent reinforcement learning (MARL) establi…
  europepmc 2025 置信度 0.94 computer and information scienceselectrical engineering, electronic engineering, information engineeringcs.rocs.lgcomputer science
• An efficient coverage path planning method for UAV in complex concave regions.
  In fields like land assessment and disaster relief, the use of unmanned aerial vehicles has become increasingly prevalent. Path planning remains a key challenge for achieving comprehensive coverage of complex areas, combining elements of the Traveling Salesman…
  europepmc 2025 置信度 0.87
• A distributed differential game approach to trajectory planning for offshore wind farm inspection.
  To address the complex challenges associated with multiple unmanned aerial vehicles (multi-UAVs) cooperative inspection in offshore wind farms, including limited sensing and communication ranges, constrained battery capacity, and round-trip mission requirement…
  europepmc 2026 置信度 0.87
• Prescribed-time bearing-based time-varying formation control for multi-agent system.
  In this manuscript, we investigate the problem of prescribed-time bearing-based formation tracking for multi-agent systems. The proposed control law employs a two-stage strategy to achieve formation tracking within a prescribed time. For multi-agent systems wi…
  europepmc 2026 置信度 0.87
• Iterative localization method for multiple jammers in UAV collaborative jamming attacks.
  To achieve multi-jammer localization in a collaborative jamming attack scenario involving UAVs, this paper designs a multi-jammer iterative localization algorithm based on error minimization and proposes a multi-strategy improved grey wolf optimizer (MSIGWO) a…
  europepmc 2026 置信度 0.87
• Transformer-Based Soft Actor-Critic for UAV Path Planning in Precision Agriculture IoT Networks.
  Multi-agent path planning for Unmanned Aerial Vehicles (UAVs) in agricultural data collection tasks presents a significant challenge, requiring sophisticated coordination to ensure efficiency and avoid conflicts. Existing multi-agent reinforcement learning (MA…
  europepmc 2025 置信度 0.94 computer and information sciencescomputer scienceartificial intelligencecs.lgcs.ai
• Smart weather aware drone sink SWADS for reliable and energy efficient agricultural wireless sensor networks.
  Wireless sensor networks (WSNs) for precision agriculture are constrained by limited node energy, weather-induced link variability, and latency requirements. This work introduces SWADS, a clustered WSN architecture in which an unmanned aerial vehicle (UAV) ser…
  europepmc 2025 置信度 0.87
• Multi-Domain Robot Swarm for Industrial Mapping and Asset Monitoring: Technical Challenges and Solutions.
  Industrial environments are complex, making the monitoring of gauge meters challenging. This is especially true in confined spaces, underground, or at high altitudes. These difficulties underscore the need for intelligent solutions in the inspection and monito…
  europepmc 2025 置信度 0.87
• Autonomous UAV Target Search Method Based on Lightweight YOLOv8n and Coverage Path Planning.
  Unmanned aerial vehicles (UAVs) have wide application prospects in disaster search and rescue, ecological monitoring and environmental inspection tasks, where target search is a key link to realize autonomous task execution. UAVs often face challenges related …
  europepmc 2026 置信度 0.87
• ISAC based seamless handover solution for SAGIN in high mobility environments.
  Seamless and uninterrupted connectivity within high-mobility environments (e.g. aerospace and high-speed terrestrial transportation) drives a critical demand for Space-Air-Ground Integrated Networks (SAGIN). In such dynamic environments, conventional handovers…
  europepmc 2025 置信度 0.87
• Modeling and simulation of dual-battery FANET system using MADRL for energy optimization.
  Uncrewed Aerial Vehicles (UAVs), or drones, are revolutionizing applications such as surveillance, search and rescue (SAR), precision agriculture, and disaster response. In these applications, Flying Ad-Hoc Networks (FANETs)-dynamic networks of interconnected …
  europepmc 2025 置信度 0.87
• Soft-Centralized Spectrum Resource Management in UAV-Assisted MANETs from Aggregate Multi-Hop Information Efficiency.
  UAV-Assisted Mobile Ad Hoc Networks (UAMANETs) provide flexible communication support in dynamic and infrastructure-limited environments. This paper studies a representative UAMANET architecture in which a subset of UAVs forms stable task clusters with ground …
  europepmc 2026 置信度 0.87
• Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT model.
  Introduction Excessive fertilization not only causes environmental pollution and degrades water and soil quality but also increases production costs and reduces agricultural sustainability. Methods Based on two consecutive years of field experiments, this stud…
  europepmc 2025 置信度 0.83
• MEIAO: A Multi-Strategy Enhanced Information Acquisition Optimizer for Global Optimization and UAV Path Planning.
  With the expansion of unmanned aerial vehicles (UAVs) into complex three-dimensional (3D) terrains for reconnaissance, rescue, and related missions, traditional path planning methods struggle to meet multi-constraint and multi-objective requirements. Existing …
  europepmc 2025 置信度 0.87
• Safe formation scaling and motion planning for heterogeneous UAV-UGV teams in cluttered environments.
  Heterogeneous UAV-UGV formations offer significant potential for autonomous missions; however, achieving stable three-dimensional (3-D) formation control with collision-free navigation in dense obstacle environments remains challenging due to heterogeneous dyn…
  europepmc 2026 置信度 0.94 computer sciencecomputer and information scienceselectrical engineering, electronic engineering, information engineeringroboticsrobot
• Multi-strategy Sea Horse Optimization algorithm for UAV path planning.
  Unmanned aerial vehicle (UAV) path planning is a challenging constrained optimization problem and a key component of autonomous navigation. Traditional optimization techniques frequently encounter difficulties in handling the complex constraints of UAV path pl…
  europepmc 2026 置信度 0.87
• Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles.
  The cooperative localization of Unmanned Aerial Vehicles (UAVs) has emerged as a pivotal application in Internet of Things (IoT) tasks. However, the frequent exchange of localization data among UAVs leads to significant energy consumption and escalates the com…
  europepmc 2025 置信度 0.87
• A Hierarchical PSMC-LQR Control Framework for Accurate Quadrotor Trajectory Tracking.
  Accurate trajectory tracking of quadrotor UAVs remains challenging due to highly nonlinear dynamics, model uncertainties, and time-varying external disturbances, which make it difficult to achieve both precise position tracking and stable attitude regulation u…
  europepmc 2025 置信度 0.87
• Aerial BS location optimization for monitoring multiple forest areas with uplink UAV throughput requirements.
  The increasing frequency and intensity of forest fires demand innovative technologies to support firefighting and mitigate their impact on ecosystems and communities. This paper explores the application of untethered and tethered uncrewed aerial vehicles (UAVs…
  europepmc 2026 置信度 0.87
• Quantum-enhanced artificial potential field method for robust drone swarm shape formation.
  Distributed coordination of a swarm of drones is one of the inherent open problems in autonomous aerial robotics, as classical approaches suffer from slow convergence and poor resilience to disturbances. In this paper, an efficient and robust approach to shape…
  europepmc 2025 置信度 0.87
• Stochastic geometry analysis of UAV-assisted networks with probabilistic UAV activation.
  Unmanned aerial vehicles (UAVs) are prominent to modern wireless networks but are severely limited by onboard energy, making continuous operation of a large swarm infeasible. To address this, this paper proposes a probabilistic activation scheme in which UAVs …
  europepmc 2025 置信度 0.87