Parameters of the genetic algorithm. by Jian Ma (170138)

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”

FASTA sequence for marker ITS2. by Yujun Wang (1947196)

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Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. The effectiveness of the proposed method is then verified on both the physical work cell for riveting and welding and its digital twin platform, and it is compared with other baseline multi-agent reinforcement learning methods (MAPPO, MADDPG, and MASAC). …”

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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CEC2017 test function test results. by Tengfei Ma (597633)

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The control algorithm of MPC for SSI. by Ahmed Abdelaleem (19066115)

Visualizing the scatter plot of the drought (red) versus no-drought (green) and the support vectors (black) using the SVM section 4 classification algorithm. by J. Emmanuel Johnson (9579567)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Iteration curves of different algorithms. by Tengfei Ma (597633)

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Flowchart of OP-ZOA algorithm. by Tengfei Ma (597633)

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Comparative analysis of algorithms. by Xumin Zhao (18261643)

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Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

WSN optimized by different algorithms. by Qingwen Meng (156386)

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Compare algorithm parameter settings. by Qingwen Meng (156386)

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Boxplot of fitness in various algorithms. by Wei Liu (20030)

“…The convergence of SGWO was analyzed by mathematical theory, and the optimization ability of SGWO and the prediction performance of SGWO-Elman were examined using comparative experiments. The results show: (1) the global convergence probability of SGWO was 1, and its process was a finite homogeneous Markov chain with an absorption state; (2) SGWO not only has better optimization performance when solving complex functions of different dimensions, but also when applied to Elman for parameter optimization, SGWO can significantly optimize the network structure and SGWO-Elman has accurate prediction performance.…”

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Pseudo-code of MWOA algorithm. by Yi-Qiang Xia (20161326)

“…Moreover, the Wilcoxon rank sum test is used to verify the effectiveness of the proposed algorithm. …”