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Titlebook: Genetic and Evolutionary Computing; Proceedings of the F Jerry Chun-Wei Lin,Chin-Shiuh Shieh,Shu-Chuan Chu Conference proceedings 2024 The

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31#
發(fā)表于 2025-3-26 21:25:05 | 只看該作者
32#
發(fā)表于 2025-3-27 02:03:05 | 只看該作者
Conference proceedings 2024rocessing and intelligent applications, and intelligent multimedia tools and applications. It helps readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs..
33#
發(fā)表于 2025-3-27 09:10:09 | 只看該作者
Introduction: Democratic Network Governancence . drops to 0, individuals will consider changing their strategy to improve their reputation. Furthermore, we introduce a parameter . to reveal the willingness to change the current status. The simulation results suggest that cooperation can be greatly enhanced with the combined mechanisms, especially for the larger . and the moderate ..
34#
發(fā)表于 2025-3-27 12:49:32 | 只看該作者
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發(fā)表于 2025-3-27 13:45:26 | 只看該作者
36#
發(fā)表于 2025-3-27 21:30:11 | 只看該作者
cy (MAE) of 18 s. This outperforms classical machine learning algorithms by at least two-fold, significantly improving the quality of ETC data. The proposed approach meets the timeliness requirements for big data mining and analysis in the transportation domain.
37#
發(fā)表于 2025-3-28 01:22:24 | 只看該作者
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發(fā)表于 2025-3-28 04:20:18 | 只看該作者
39#
發(fā)表于 2025-3-28 06:34:00 | 只看該作者
40#
發(fā)表于 2025-3-28 11:16:16 | 只看該作者
UAV Path Planning Based on Improved QUATRE Algorithm in Different Environments,ating two environments with different complexity. Then, it is compared with some typical algorithms, QUATRE variants, and ABC variants. Finally, the competitiveness of using the QUATRE-DEG algorithm to solve the UAV path planning problem is verified.
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