Properties of the benchmark functions. by Muhammad Zubair Rehman (11243478)

Subjects:

Comparative statistical performance of various algorithms in minimizing the <i>F</i> cost function. by Davut Izci (15927452)

Subjects:

Penalty functions and estimators for some of the regularized regression methods used in this paper. by Dongsheng Li (222712)

Comparison of different algorithms. by Dawei Wang (471687)

Subjects:

3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”

Parameters of the test function. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

Circulatory system-based optimization algorithm with dynamic penalty function for optimum design of large-scale water distribution networks by Veli Batmaz (20800175)

“…To address this challenge, a novel method called circulatory system-based optimization (CSBO) is proposed, which minimizes the need for algorithm-specific parameters and achieves optimal designs across WDNs of various scale. …”

GLIM: Greedy algorithm for edge selection in LIM. by Maurits H. W. Oostenbroek (11331123)

General overview of the proposed algorithm. by Alireza Rangrazjeddi (13360943)

Subjects:

RMSE results. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”

Results of the Kherson Area Visual Assessment. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”

Work flow chart. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”

Experimental data. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”

Results of the PY area visual assessment. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”

Genetic algorithm flowchart. by Junjie He (700642)

Subjects:

Results of 7 benchmarking functions in 50 dimensions. by M. A. JiMing (19207527)

Results of 7 benchmarking functions in 30 dimensions. by M. A. JiMing (19207527)

Comparison of optimization results obtained for experimental classical benchmark functions. by Ying Li (38224)

Subjects:

Application to Neuropixels dataset. by Rahul Biswas (14117086)

Subjects: