insecticide 发表于 2025-3-26 21:06:29
Vivek K. Velamuriarm optimization algorithm with an adaptive neighborhood search, and used it to solve traveling salesman problem (TSP). Based on the analysis and optimization of the different genetic operations, a new adaptive DGSO algorithm is presented (ADGSO), which is effective for both local search and globalmunicipality 发表于 2025-3-27 02:29:16
http://reply.papertrans.cn/44/4302/430197/430197_32.pngPANIC 发表于 2025-3-27 09:10:21
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Vivek K. Velamuriicant computational resources and exhibiting lower efficiency. Class incremental learning can be applied to online fault diagnosis, effectively reducing resource consumption. However, the model often experiences catastrophic forgetting during the training process, a problem that can be addressed byFLIT 发表于 2025-3-28 01:34:44
Vivek K. Velamurifunctional subsystems. Accurate and efficient anomaly detection for Multivariate Time Series (MTS) with rich temporal and spatial information generated by highly intertwined sensors and actuators in CPS to reduce the negative influence caused by abnormalities. Since existing methods with temporal mohelper-T-cells 发表于 2025-3-28 04:09:45
Vivek K. Velamuri one hand, studies on natural swarm intelligence rarely consider how this advantage keeps stable in evolution. On the other hand, evolutionary theories used to neglect the change of absolute fitness at the group level. Nevertheless, social profits are not evenly distributed to individuals. An anti-pDungeon 发表于 2025-3-28 06:50:20
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