Lineage 发表于 2025-3-26 22:25:32
An Improved Artificial Fish Swarm Algorithm and Application the actual value and simulation calculation value is tiny, the new AFSA is effective. The improved AFSA provides a new efficient calculation method of LED proportions. Compared with the traditional manual calculation LED proportions, new method not only saves a significant amount of time, but also我要威胁 发表于 2025-3-27 03:41:55
http://reply.papertrans.cn/24/2326/232555/232555_32.pnglicence 发表于 2025-3-27 06:39:04
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https://doi.org/10.1007/978-3-322-99479-0in the paper, then the detection effects and computing time are compared between several detection methods, and the mechanism of inspecting has been analyzed. The industrial applications are also given in the paper.insincerity 发表于 2025-3-27 16:15:19
https://doi.org/10.1007/978-3-322-99479-0ir wise comparison, after that, established the non-linear consistency correction model. Finally, used Particle Swarm Optimization to calculate the judgment matrix with better consistency and the corresponding index weight, and constructed the theoretical model.Commonwealth 发表于 2025-3-27 19:07:18
http://reply.papertrans.cn/24/2326/232555/232555_36.png知道 发表于 2025-3-27 22:13:51
Research on Visual Environment Evaluation System of Subway Station Spaceir wise comparison, after that, established the non-linear consistency correction model. Finally, used Particle Swarm Optimization to calculate the judgment matrix with better consistency and the corresponding index weight, and constructed the theoretical model.fender 发表于 2025-3-28 04:04:38
Conference proceedings 2014y, neural, and fuzzy-neuro hybrids; intelligent modeling, monitoring, and control of complex nonlinear systems; intelligent modeling and simulation of climate change; communication and control for distributed networked systems.SLAY 发表于 2025-3-28 07:45:16
http://reply.papertrans.cn/24/2326/232555/232555_39.pngRACE 发表于 2025-3-28 11:24:17
Michael Johann,Thomas Knieper,Moritz Haucked for solving the pallet loading problem. Simulation results show that compared with the conventional Genetic Algorithm (AG) for two pallet loading problems with different scales, the new learning algorithm is proved to be more efficiently.