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Titlebook: Advances in Swarm Intelligence; 14th International C Ying Tan,Yuhui Shi,Wenjian Luo Conference proceedings 2023 The Editor(s) (if applicabl

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樓主: Hermit
31#
發(fā)表于 2025-3-26 21:43:23 | 只看該作者
An Improved Fire Hawks Optimizer for Function Optimizationapproach. Additionally, the outcomes produced from our proposed work exhibits anticipation that how immensely the proposed approach highly influences the value of cost function, convergence rate, and diversity.
32#
發(fā)表于 2025-3-27 03:09:40 | 只看該作者
Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Firefly Algorithm comparison algorithms. Finally, the experimental findings show that HBPPSO unifies the strengths of managing the learning parameters in both PPSO and FA algorithms while alleviating the weakness of premature convergence, improving searching accuracy and avoiding slipping into local optimum.
33#
發(fā)表于 2025-3-27 06:22:17 | 只看該作者
34#
發(fā)表于 2025-3-27 11:13:34 | 只看該作者
0302-9743 e, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”..The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering
35#
發(fā)表于 2025-3-27 14:35:02 | 只看該作者
36#
發(fā)表于 2025-3-27 19:44:57 | 只看該作者
37#
發(fā)表于 2025-3-27 22:05:09 | 只看該作者
38#
發(fā)表于 2025-3-28 05:47:49 | 只看該作者
Terrestrial Concentrator PV Systems, WTA problem. The results show the efficiency of the proposed method in solving the problem with 100% convergence and provide statistically better results in all 12 different problem scenarios with low to high dimensions.
39#
發(fā)表于 2025-3-28 08:35:53 | 只看該作者
Silicon concentrator solar cells,image point value of the same length is searched only from the matching position of the previous query image point value, further reducing the search space. The computational complexity of the proposal is less compared to the existing approaches for point pattern matching. Experimental results prove the efficiency of IACOBSPPM algorithm.
40#
發(fā)表于 2025-3-28 11:29:19 | 只看該作者
The Conceptual Basis for Language 29 benchmark functions of CEC2017 are chosen to compare with four well-known BBPSO-based algorithms. The experimental results indicate that ARBBPSO is superior to several other algorithms for improving BBPSO from a comprehensive consideration.
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