Flow chart of the analysis steps in this study. حسب Junjie Su (368807)

Flowchart of a single epoch in the FOX optimization algorithm [10]. حسب Mahmood A. Jumaah (22272371)

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Adaptive exploration and exploitation method of Improved FOX optimization algorithm. حسب Mahmood A. Jumaah (22272371)

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The collective motion, collision avoidance, and CMCA score of the VCMCA algorithm, VCMCA algorithm without CA, and random walk over the simulation steps for <i>n</i> = 30 repetitio... حسب David L. Krongauz (15447260)

The TPC algorithm. حسب Rahul Biswas (14117086)

List of feature selection methods used in the voting algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

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This appendix presents the flowchart used in the development of the particle swarm optimization algorithm for determining the optimal PID controller gain values. حسب Rafael Mendes Faria (18886798)

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

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IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

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The performance results on benchmark test functions and real-world problems. حسب Mahmood A. Jumaah (22272371)

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Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting. حسب Alexander Borst (32619)

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Application of the smooth-index algorithm to the single-column connectome of the Drosophila optic lobe. حسب Alexander Borst (32619)

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Skeletonisation algorithm. حسب Jordan Hembrow (16908051)

Generating the PSC kernel using a double exponential function. حسب Alireza Ghadimi (13839874)

Schematics for gmxapi operations. حسب M. Eric Irrgang (4487278)

gmxapi usage examples. حسب M. Eric Irrgang (4487278)

Wavelet transform and scaling function. حسب Menaa Nawaz (14304920)

Summary of classical and CEC-based benchmark test functions used in this study. حسب Mahmood A. Jumaah (22272371)

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Table 12_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx حسب Adebisi R. Ogunbawo (21216281)

"…These findings contribute to gene prioritization efforts, facilitating the identification of functional candidate genes that can enhance genomic selection strategies for economically important traits in Nellore cattle.…"

Table 10_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx حسب Adebisi R. Ogunbawo (21216281)

"…These findings contribute to gene prioritization efforts, facilitating the identification of functional candidate genes that can enhance genomic selection strategies for economically important traits in Nellore cattle.…"