TY - GEN
T1 - Sensitivity-Guided Multi-stage Sequential Quadratic Programming for Launch Sequence Optimization
AU - Shen, Kai
AU - Guo, Wenjun
AU - Xu, Zheng
AU - Peng, Haocheng
AU - Zhang, Xinye
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This paper addresses the optimization design problem of the Multi-mission Launcher (MML) system launch sequence, with a focus on the challenges of application in dynamic battlefield environments. The study proposes a Sensitivity-Guided Multi-Stage Sequential Quadratic Programming (SM-SQP) algorithm to overcome the limitations of traditional algorithms in adaptability, flexibility, and real-time performance. The SM-SQP algorithm combines sensitivity knowledge guidance with a multi-stage planning structure to adapt to information degradation conditions. Simulation results demonstrate that, compared to existing methods, the algorithm exhibits significant advantages in key performance indicators such as average time and ammunition consumption for destroying unit targets, as well as overall target destruction rate. These advantages are particularly evident in environments with interference and information degradation. This research not only provides a new perspective for optimizing the launch sequence of MML systems but also offers insights for addressing similar complex system optimization problems.
AB - This paper addresses the optimization design problem of the Multi-mission Launcher (MML) system launch sequence, with a focus on the challenges of application in dynamic battlefield environments. The study proposes a Sensitivity-Guided Multi-Stage Sequential Quadratic Programming (SM-SQP) algorithm to overcome the limitations of traditional algorithms in adaptability, flexibility, and real-time performance. The SM-SQP algorithm combines sensitivity knowledge guidance with a multi-stage planning structure to adapt to information degradation conditions. Simulation results demonstrate that, compared to existing methods, the algorithm exhibits significant advantages in key performance indicators such as average time and ammunition consumption for destroying unit targets, as well as overall target destruction rate. These advantages are particularly evident in environments with interference and information degradation. This research not only provides a new perspective for optimizing the launch sequence of MML systems but also offers insights for addressing similar complex system optimization problems.
KW - Hit Rate Sensitivity
KW - Information Degradation
KW - Launch Sequence Optimization
KW - Multi-Mission Launcher System
KW - Sequential Quadratic Programming
UR - http://www.scopus.com/inward/record.url?scp=105000386235&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-2260-3_36
DO - 10.1007/978-981-96-2260-3_36
M3 - Conference contribution
AN - SCOPUS:105000386235
SN - 9789819622597
T3 - Lecture Notes in Electrical Engineering
SP - 367
EP - 378
BT - Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 16
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Deng, Yimin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2024
Y2 - 9 August 2024 through 11 August 2024
ER -