Available Transfer Capability Calculation Constrained with Small-Signal Stability Based on Adaptive Gradient Sampling by Peijie Li, Ling Zhu, Xiaoqing Bai, Hua Wei

“…Thus, the computing efficiency is greatly improved owing to the decrease and the parallelization of gradient evaluation, which dominates the computing time of the whole algorithm. Simulations on an IEEE 10-machine 39-bus system and an IEEE 54-machine 118-bus system prove the effectiveness and high efficiency of the proposed method.…”
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The Combination of Spectrum Subtraction and Cross-power Spectrum Phase Method for Time Delay Estimation by Feng BIN, Xu LEI

“…Finally, the joint simulation results of the whole algorithm show that the combination of spectrum subtraction and crosspower spectrum phase method can effectively sharpen the peak value of cross-correlation function and improve the accuracy of time delay estimation in the low SNR environment. …”
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Multirobot Coverage Path Planning Based on Deep Q-Network in Unknown Environment by Wenhao Li, Tao Zhao, Songyi Dian

“…For these reasons, the whole algorithm is divided into two parts: offline training and online decision-making. …”
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High-precision Joint 2D Traveltime Calculation for Seismic Processing by Hui Sun, Fanchang Meng, Zhihou Zhang, Cheng Gao, Mingchen Liu

“…FMM has poor calculation precision near the source, which is an essential reason for the low accuracy of the whole algorithm. This paper puts forward a joint traveltime calculation method to address the problem. …”
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A classifier-assisted evolutionary algorithm with knowledge transfer for expensive multitasking problems by Min Hu, Zhigang Ren, Zhirui Cao, Yifeng Guo, Haitao Sun, Hongyao Zhou, Yu Guo

“…However, due to the scarcity of training samples, the prediction accuracy of frequently-used regression surrogate models can hardly be guaranteed as the difficulty of the problem increases, resulting in performance degradation of the whole algorithm. Since real-world problems rarely exist in isolation, it is expected to alleviate the above issue by properly exploiting the knowledge shared across different problems. …”
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