Comparison of different algorithms. حسب Dawei Wang (471687)

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Study proposed algorithm. حسب Ainhoa Pérez-Guerrero (21377457)

الموضوعات: "…assess microvascular function…"

Multi-algorithm comparison figure. حسب Dawei Wang (471687)

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Activation functions: Sigmoid function and ReLU function. حسب Wan-Hua Zhang (21601139)

The image of the Aekley function. حسب Zhengyu Xu (8550660)

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

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The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

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Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. حسب Hiroyuki Ichijo (13891153)

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Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

"…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …"

Comparison of algorithms across metrics in test problems. حسب Jihui Hu (19812736)

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The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

PSO algorithm flowchart. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Overall process planning. حسب Dawei Wang (471687)

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Model intrinsic parameter flow. حسب Dawei Wang (471687)

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A comparison of whether to add a penalty. حسب Dawei Wang (471687)

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The interleaved processes. حسب Dawei Wang (471687)

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Final optimization results. حسب Dawei Wang (471687)

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Vehicle-related parameters. حسب Dawei Wang (471687)

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The comparison in gantt result. حسب Dawei Wang (471687)

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Pseudocode of IHWGWO. حسب Dawei Wang (471687)

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