Specific information on the 7 benchmark functions. by M. A. JiMing (19207527)

The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

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Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Objective function values of each algorithm for solving large-scale problems. by Lijun Fan (2007628)

Performance comparison of algorithms in ZDT5 and ZDT6 function tests. by Tao Dong (15551)

Comparison of algorithm performance in ZDT3 and ZDT4 function tests. by Tao Dong (15551)

Comparison of algorithm performance in ZDT1 and ZDT2 function tests. by Tao Dong (15551)

GELU function. by Yuanzhou Zheng (15195249)

Output results based on three algorithms. 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. …”

The proposed spherical registration algorithm between macaque and human hemisphere. by Haewon Nam (4102705)

“…<p>For each iteration of the proposed algorithm, curvature, sulcus depth, myelination, node degree, and six group principal components based on functional connectivity matrix were generated and used in the demons registration.…”

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

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

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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)

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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)

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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. …”