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Titlebook: Computational Intelligence and Intelligent Systems; 9th International Sy Kangshun Li,Wei Li,Yong Liu Conference proceedings 2018 Springer N

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樓主: Gram114
21#
發(fā)表于 2025-3-25 04:24:10 | 只看該作者
22#
發(fā)表于 2025-3-25 10:22:37 | 只看該作者
A Dual Internal Point Filter Algorithm Based on Orthogonal Designg the initial points is compared with the dual interior point filter algorithm based on random initial points (DIPFA-RND). The experimental results show that DIPFA-OD has a faster convergence speed and obtains better objective values than DIPFA-RND.
23#
發(fā)表于 2025-3-25 12:46:58 | 只看該作者
Conference proceedings 2018imedia simulation;?intelligent information systems:?information retrieval,?e-commerce platforms;?artificial intelligence and robotics:?query optimization,?intelligent engineering;?virtualization:?motion-based tracking,?image recognition..
24#
發(fā)表于 2025-3-25 19:11:50 | 只看該作者
1865-0929 amic,?multimedia simulation;?intelligent information systems:?information retrieval,?e-commerce platforms;?artificial intelligence and robotics:?query optimization,?intelligent engineering;?virtualization:?motion-based tracking,?image recognition..978-981-13-1650-0978-981-13-1651-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
25#
發(fā)表于 2025-3-25 23:25:15 | 只看該作者
,Kriminalit?t und Gesellschaft,ion strategy (AEM) is included to avoid trapping into local optimum. Experimental results show that the proposed method has a significant improvement in performance compared with some state-of-art PSOs.
26#
發(fā)表于 2025-3-26 01:31:50 | 只看該作者
https://doi.org/10.1007/978-3-322-97384-9is article. The large number of experiment results and analysis reveals that AHOPSO-CEO achieves better performance with other algorithms on the convergence speed and convergence accuracy for optimization problems.
27#
發(fā)表于 2025-3-26 04:17:31 | 只看該作者
28#
發(fā)表于 2025-3-26 12:01:01 | 只看該作者
29#
發(fā)表于 2025-3-26 12:45:54 | 只看該作者
Differential Opposition-Based Particle Swarmion strategy (AEM) is included to avoid trapping into local optimum. Experimental results show that the proposed method has a significant improvement in performance compared with some state-of-art PSOs.
30#
發(fā)表于 2025-3-26 18:38:28 | 只看該作者
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