Speed limits and gradients from RJ to WYJ. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Speed limits and gradient from SJZ to XHM. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Simulation results by genetic algorithms (GAs). by Yuji Omachi (15307241)

Algorithm used in the model to automatically estimate the parameters of LD pharmacodynamics, via minimization of a cost function. by Mauro Ursino (144905)

The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms. by Hamed Khodadadi (21446172)

“…<p>The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms.…”

Fig 9 - by Maryam Shadi (14237349)

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

Fig 11 - by Maryam Shadi (14237349)

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Application of the smooth-index to bandwidth-limited matrices (A,B) and to block-diagonal matrices (C,D). by Alexander Borst (32619)

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Power flow and cost optimization with APSO variant-16 of APSO algorithm (b). by Muhammad Ahmad Iqbal (11851338)

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Power flow and cost optimization with APSO variant-16 of APSO algorithm (a). by Muhammad Ahmad Iqbal (11851338)

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Parameters and variables used to generalized cost function. by Zhipeng Huang (1759759)

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Comparative Analysis (Security Functionalities). by Naif Alzahrani (19992885)

Table 1_Machine learning-based gait adaptation dysfunction identification using CMill-based gait data.docx by Hang Yang (577653)

“…ML models based on Support Vector Machine, Decision Tree, Multi-layer Perceptron, K-Nearest Neighbors, and AdaCost algorithm were trained to classify individuals with and without GAD. …”

Cumulative recovery cost of recovery. by Alireza Rangrazjeddi (13360943)

Case 1 (100 × 20). by Rutinaldo Aguiar Nascimento (14259594)

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Movements defined in the original Nelder-Mead Simplex. by Rutinaldo Aguiar Nascimento (14259594)

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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”

CIAT genebank workflow suggestion resulting from the proposed methodology. by Diego Felipe Conejo-Rodríguez (18495740)

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