Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Duan, Xiaojun"'
Modeling complex systems using standard neural ordinary differential equations (NODEs) often faces some essential challenges, including high computational costs and susceptibility to local optima. To address these challenges, we propose a simulation-
Externí odkaz:
http://arxiv.org/abs/2405.11542
This paper presents a method called sampling-computation-optimization (SCO) to design batch Bayesian optimization. SCO does not construct new high-dimensional acquisition functions but samples from the existing one-site acquisition function to obtain
Externí odkaz:
http://arxiv.org/abs/2202.10152
As an algorithm based on deep reinforcement learning, Proximal Policy Optimization (PPO) performs well in many complex tasks and has become one of the most popular RL algorithms in recent years. According to the mechanism of penalty in surrogate obje
Externí odkaz:
http://arxiv.org/abs/2110.10522
Publikováno v:
In Computer Physics Communications November 2024 304
Autor:
Zhang, Fan, Liu, Huiying, Duan, Xiaojun, Wang, Binglu, Cai, Qing, Li, Huafeng, Dong, Junyu, Zhang, David
Publikováno v:
In Expert Systems With Applications 15 May 2024 242
Publikováno v:
In Chinese Journal of Aeronautics June 2024
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena January 2024 178
Autor:
Dong, Qian, Wang, Binglin, Duan, Xiaojun, Yan, Liang, Liu, Ke, Luo, Wen, Shao, Fuqiu, Yu, Tongpu
Publikováno v:
In Computer Physics Communications January 2024 294
Publikováno v:
In Measurement 30 January 2025 240
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena November 2023 176