essential-fats
发表于 2025-3-26 22:01:07
Paolo Cattorini,Roberto Mordacciization (PSO) to construct a two-population PSO model called PSOPB, composed of the host and the parasites population. In this model, the two populations exchange particles according to the fitness sorted in a certain number of iterations. In order to embody the law of "survival of the fittest" in b
bronchiole
发表于 2025-3-27 04:18:42
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Tractable
发表于 2025-3-27 06:21:44
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滔滔不绝地讲
发表于 2025-3-27 10:39:31
https://doi.org/10.1007/978-94-015-8344-2sed algorithm, the social part and recognition part of PSO both are modified in order to accelerate the convergence and improve the accuracy of the optimal solution. Especially, a novel recognition approach, called general recognition, is presented to furthermore improve the performance of PSO. Expe
Cryptic
发表于 2025-3-27 16:14:27
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Archipelago
发表于 2025-3-27 18:20:28
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Resign
发表于 2025-3-28 01:06:55
Biomechanics Modeling and Concepts,d are not continuously available for computation, achieving a better make-span is a key issue. The existing algorithm SSAC has proved to be a good trade-off between availability and responsiveness while maintaining a good performance in the average response time of multiclass tasks. But the makespan
stratum-corneum
发表于 2025-3-28 02:22:47
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JEER
发表于 2025-3-28 08:12:08
https://doi.org/10.1007/978-3-319-15096-3e Swarm Optimization (PSO). QPSO performs better than normal PSO on several benchmark problems. However, QPSO’s quantum bit(Qubit) is still in Hilbert space’s unit circle with only one variable, so the quantum properties have been undermined to a large extent. In this paper, the Bloch Sphere encodin
深陷
发表于 2025-3-28 12:55:51
S. M. Niaz Arifin,Gregory R. Madeyproved particle swarm optimization (PSO) algorithm. To enhance the exploitation ability of PSO, a stochastic iterated local search is incorporated. To improve the exploration ability of PSO, a population update method is applied to replace non-promising particles. In addition, a solution pool that s