@article{LI2026, 
author = {Haojian LI and Kebo LI and Yangang LIANG},
title = {Multi-to-multi energy optimal task allocation method based on interception capture region},
year = {2026},
journal = {Journal of Beijing University of Aeronautics and Astronautics},
volume = {52},
number = {2},
pages = {490-497},
keywords = {multimissile and multitarget engagement, interception capture region, three-dimensional realistic true proportional navigation, adaptive Hungarian algorithm, multimissile and multitarget assignment},
url = {https://www.sciopen.com/article/10.13700/j.bh.1001-5965.2024.0330},
doi = {10.13700/j.bh.1001-5965.2024.0330},
abstract = {Aiming at the assignment problem of multimissile and multitarget engagement (MME) scenario, this paper proposes a multi-to-multi energy optimal task allocation method based on interception capture region from the perspective of guidance. The characteristics of the capture region and optimal energy cost in the scenario of three-dimensional realistic true proportional navigation (3D-RTPN) intercepting arbitrary maneuvering targets are analyzed. The weight matrix is then built with the intention of achieving both the lowest total energy consumption and successful interception. In order to achieve multimissile and multitarget assignment (MMA), the adaptable Hungarian algorithm (AHA) is used. Numerical simulation is used to confirm the MMA strategy's efficacy. The effectiveness of the proposed method is verified by numerical simulation.}
}