Optimize process data and final results by Dawei Wang (471687)

The final population of the optimization algorithm based on the two goals of accuracy and diversity. by Kaveh Faraji Googerdchi (18778727)

Test performance metrics for the final model. by Ramona Leenings (11167294)

The final population of the optimization algorithm based on the two goals of imbalance accuracy and diversity. by Kaveh Faraji Googerdchi (18778727)

Evaluation of developed intrusion detection model with different heuristic algorithms. by P. M. Vijayan (17095147)

Optimized process of the random forest algorithm. by Hongxia Li (493545)

“…Finally, the constructed random forest-based gas explosion early warning model is compared with a classification model based on the support vector machine (SVM) algorithm. …”

Performance of the final model on the test set. by Amirmohammad Shahbandegan (14265549)

Subjects:

Firefly optimization algorithm flowchart. by Zhengyu Xu (8550660)

“…And finally, an improved PSO-IFA hybrid optimization algorithm (PSO-IFAH) was proposed in the paper. …”

Description of optimal model parameters. by Libo Liu (552605)

Particle swarm optimization algorithm flowchart. by Zhengyu Xu (8550660)

“…And finally, an improved PSO-IFA hybrid optimization algorithm (PSO-IFAH) was proposed in the paper. …”

Comparison of final models to L1 regularization regression models. by Michael D. Cobler-Lichter (22492930)

The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

“…To overcome the challenges involved in the selection of a stock portfolio, this article presents a three-stage optimization model. In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”

Model frame drawing. by Ning Zhao (84707)

“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”

Posterior predictive check (PPC) of the final nutritional effect model. by Jari Turkia (17912475)

Most important features as selected by the Sequential Feature Selection algorithm (where appropriate) and found optimal hyperparameters for the top 3 scoring models. by Andres Portocarrero-Bonifaz (21367929)

Recall curve of higher-order hybrid clustering algorithm incorporating LDA model. by Ning Zhao (84707)

Weighted covariance matrix based GEDM model. by Ning Zhao (84707)

“…<div><p>In the context of integrating sports and medicine domains, the urgent resolution of elderly health supervision requires effective data clustering algorithms. This paper introduces a novel higher-order hybrid clustering algorithm that combines density values and the particle swarm optimization (PSO) algorithm. …”

Final Path Smoothing Optimization: Step-by-step results of smoothing optimization applied to the adjusted path. It shows how the path becomes more continuous and efficient through... by Yan Chen (4308)

Data_Sheet_2_Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.xlsx by Alexander Ladd (12888461)

Data_Sheet_1_Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.pdf by Alexander Ladd (12888461)