@inproceedings{31eb3c68200242e4b9b8d965ef7871cb,
title = "Mission Planning of Continuous Tracking Moving Targets by Earth Observation Satellite in Unknown Scenarios",
abstract = "Mission planning of continuous tracking moving targets (MPCTMT) by earth observation satellites is a crucial optimization problem in the field of modeling and optimization. However, due to the unknown task scenarios in multi-objective MPCTMT problem, existing optimization algorithms struggle to effectively address MPCTMT problem. In this study, we propose a novel multi-objective optimization algorithm tailored to address MPCTMT problem. To ensure a well-distributed set of solutions in all unknown scenarios, we introduce an anchors adjustment mechanism. Experimental results demonstrate that the proposed algorithm outperforms existing multi-objective evolutionary algorithms in all possible scenarios.",
keywords = "Earth observation satellites, anchors adjustment, moving targets, multi-objective optimization, unknown scenarios",
author = "Xiang Li and Xiaofeng Han and Ping Ma and Ming Yang and Tao Chao",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 19th IEEE International Conference on Control and Automation, ICCA 2025 ; Conference date: 30-06-2025 Through 03-07-2025",
year = "2025",
doi = "10.1109/ICCA65672.2025.11129799",
language = "英语",
series = "IEEE International Conference on Control and Automation, ICCA",
publisher = "IEEE Computer Society",
pages = "244--249",
booktitle = "2025 IEEE 19th International Conference on Control and Automation, ICCA 2025",
address = "美国",
}