The process of the optimization (NSGA-Ⅱ+ NLPQL). by Shangyang Jin (21772466)

Subjects:

Optimization flow of the co-simulation method. by Shangyang Jin (21772466)

Subjects:

Hyperparameters of the above comparison algorithm. by Jiaqi Ma (773451)

Subjects:

Main code. by Jingguo Bi (21439766)

Code and data. by Crispin H. V. Cooper (21484906)

“…We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.…”

Optimized based on the proximal strategy decision logic. by Hui Zhao (7395)

Subjects:

Comparison of different algorithms. by Dawei Wang (471687)

Subjects:

Transient response of different algorithms-based 2-DOF PIDA controllers. by Erdal Eker (19251018)

Statistical test of experimental results of NAFPSO and PSO algorithm. by Huichao Guo (14515171)

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Generator network and discriminator network. by Xiaojun Wang (50332)

“…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …”

SVR and MLPR algorithm flow optimized by GridSearchCV. by Jintao Li (448681)

Source Code and Dataset by Swathi Ganesan (14394924)

Algorithm parameter settings. by Tao Dong (15551)

Subjects:

The flowchart of Algorithm 2. by Jing Xu (15337)

“…To solve this optimization model, a multi-level optimization algorithm is designed. …”

Test results of different algorithms. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

Optimization process of adaptive weight adjustment based on the SCSO. by Fengning Liang (20927493)

Code for Most Likely Paths Calculation_ERP by Mengqi Yang (21263402)

The goodness of fit criteria results in all algorithms for optimal hyperparameter values. by Sevtap Tırınk (22394716)