Research on mission planning algorithm framework for large-scale heterogeneous sensing constellation
Aiming at modeling the giant heterogeneous sensing constellation and massive task planning problem, we proposed a modular planning algorithm framework that can be embedded with multiple algorithmic components, adopt multiple heuristic optimization algorithms combined with the strategy of predefined rules, and designed a lightweight and fast evaluation function, which can greatly improve the algorithm's performance, and validate the performance of the algorithm in solving the large-scale mission planning problem in a test dataset.
Authors
- Yanbin Chen (ORCID: https://orcid.org/0000-0001-6259-595X)
- Dahai Yan (ORCID: https://orcid.org/0000-0003-4895-1406)
- Song Guo (ORCID: https://orcid.org/0000-0001-9831-2202)
- Chang Liu (ORCID: https://orcid.org/0000-0001-6747-0646)
- Hongjun Yang
Publication Details
- Published
- 2025-09-15
- DOI
- https://doi.org/10.1117/12.3073505
- Primary Topic
- Mobile Agent-Based Network Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00