no code implementations • 28 Apr 2024 • Yunbao Xu, Xuemei Jiang, Jun Li, Lining Xing, Yanjie Song
Furthermore, several algorithmic improvements including update strategy, local search strategy, and carbon reduction strategy are employed to improve the search performance of the algorithm.
no code implementations • 25 Aug 2023 • Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, P. N. Suganthan, Yue Zhang, Witold Pedrycz, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani. Qiang Feng
Reinforcement learning (RL) integrated as a component in the EA framework has demonstrated superior performance in recent years.
no code implementations • 8 Apr 2023 • Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, P. N. Suganthan, Yanjie Song
The RL-GP adopts the ensemble population strategies.
no code implementations • 5 Mar 2023 • Yanjie Song, P. N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen, Yutong Wu
By offering guidance for future scientific research and engineering applications, this survey significantly contributes to the advancement of ERL.
no code implementations • 7 Jan 2023 • Yanjie Song
The complexity of many types of satellite mission planning problems is NP-hard and places high demands on the solution.
no code implementations • 20 Sep 2022 • Qinwen Yang, Yuelin Gao, Yanjie Song
After verification by the CEC2020 benchmark function, TFSSA is used to select the best feature combination to maximize classification accuracy and minimize the number of selected features.
no code implementations • 12 Jun 2022 • Yanjie Song, Luona Wei, Qing Yang, Jian Wu, Lining Xing, Yingwu Chen
In this way, the search information can be effectively used by the reinforcement learning method.