@inproceedings{9b282d000b5f42d5976543821baab206,
title = "A Novel Continuous-Time Algorithm for Nonsmooth Convex Resource Allocation Optimization",
abstract = "For resource allocation problems in multi-agent networks involving nonsmooth constraints and objectives, this paper presents a new continuous-time algorithm modeled via differential inclusion. Key findings include the proof that state solutions enter the feasible region in finite time and the demonstration of global boundedness and convergence to optimal solutions. The proposed algorithm is distinguished by its ability to handle general convex functions without requiring strong or strict convexity, as well as its low-dimensional state space and lack of projection operators. These features contribute to a more robust and less complex implementation compared to standard algorithms. The paper concludes with numerical simulations and a power system application that highlight the algorithm's practical performance.",
keywords = "Cooperative multi-agent systems, Real-time dynamics, distributed nonsmooth optimization, resource allocation",
author = "Changsen Fu and Lei Xue and Wenwen Jia and Yongbao Wu and Sitian Qin",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 13th International Conference on Machine Intelligence Theory and Applications, MiTA 2026 ; Conference date: 24-02-2026 Through 28-02-2026",
year = "2026",
doi = "10.1109/MiTA69365.2026.11582686",
language = "英语",
series = "Proceedings of 2026 13th International Conference on Machine Intelligence Theory and Applications, MiTA 2026",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "23--30",
booktitle = "Proceedings of 2026 13th International Conference on Machine Intelligence Theory and Applications, MiTA 2026",
address = "美国",
}