Author
Contributions by role
Author 2
Rui Wang
Civil Aviation University of China
Summary
Edited Journals
ICCK Contributions

Free Access | Research Article | 11 July 2025
Multi-UAV Cooperative Task Allocation Based on Multi-strategy Clustering Ant Colony Optimization Algorithm
ICCK Transactions on Intelligent Systematics | Volume 2, Issue 3: 149-159, 2025 | DOI: 10.62762/TIS.2025.409447
Abstract
To address the issues of low solving efficiency and susceptibility to local optima in multi-unmanned aerial vehicle (multi-UAV) task allocation algorithms within urban areas, this study constructs a task allocation model aiming to minimize economic costs for material delivery and reduce the urgency of rescue task demands. A multi-strategy clustering ant colony optimization algorithm (KMACO) is proposed for solution. Specifically, the K-means clustering method is utilized to partition the number of rescue tasks assigned to each UAV. In the ant colony optimization algorithm, a pheromone update strategy and a random evolution strategy are introduced to guide population search directions, thereb... More >

Graphical Abstract
Multi-UAV Cooperative Task Allocation Based on Multi-strategy Clustering Ant Colony Optimization Algorithm

Research Article | 21 May 2025
MFE-YOLO: A Multi-feature Fusion Algorithm for Airport Bird Detection
ICCK Transactions on Intelligent Systematics | Volume 2, Issue 2: 85-94, 2025 | DOI: 10.62762/TIS.2025.323887
Abstract
To address the issues of low accuracy in manual observation and slow detection by radar in airport bird detection, this paper designs a lightweight bird detection network named MFE-YOLOv8. This network is based on the YOLOv8 framework, with the main body part featuring an MF module replacing the original C2f module to enhance the network's feature extraction capability. An EMA mechanism is added to increase the focus on bird targets, and the Focal-Modulation module is introduced to reduce background interference. Additionally, a DCSlideLoss is designed during the supervised network training process to alleviate the imbalance of samples. Finally, the real-time detection performance is verifie... More >

Graphical Abstract
MFE-YOLO: A Multi-feature Fusion Algorithm for Airport Bird Detection