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

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

Final optimization results. حسب Dawei Wang (471687)

The convergence curves of the HMMS optimization algorithm based on INFO-KELM and other algorithms. حسب Qiongfang Zhang (18055134)

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

Optimal scheduling model of microgrid based on improved dung beetle optimization algorithm حسب Yu Gao (69071)

"…<p>In view of the strong uncertainty and intermittency of distributed power sources in microgrids and the shortcomings of the traditional dung beetle optimizer (DBO) algorithm with slow convergence, poor robustness and ease of falling into a local optimum, an optimal scheduling model for microgrids based on the improved dung beetle optimization algorithm is proposed. …"

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

"…Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. …"

Flow chart of INFO algorithm. حسب Qiongfang Zhang (18055134)

"…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …"

Optimized process of the random forest algorithm. حسب 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. …"

Optimized algorithm framework diagram. حسب Xutao Liu (13006965)

"…Secondly, the technologies and functions contained in the adolescent health Latin dance teaching system are described, including image acquisition, feature extraction, object detection, and action recognition. Finally, the action recognition algorithm is optimized based on object detection, and the rationality and feasibility of the proposed algorithm are verified by experiments. …"

Performance visualization of the final random forest model. حسب Junying Wei (1710550)

Model frame drawing. حسب Ning Zhao (84707)

"…Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. …"

Hierarchical Optimization on large models. حسب Nisha Ann Viswan (20371285)

A HyChem Model of Polyoxymethylene Dimethyl Ether 5 Optimized with a Differential Evolution Algorithm حسب Guohua Li (550125)

"…This study develops a machine learning-optimized combustion model for the ether-based fuel PODE₅ based on the HyChem approach, which decouples fuel combustion steps into lumped pyrolysis and detailed oxidation. …"

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

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

"…For the former, it is further divided into two sub-problems according to the stochastic nature of passenger no-show behavior, which is optimized iteratively. Finally, the effectiveness of the proposed model and algorithm is evaluated through numerical studies. …"

Bayesian Optimization Methods for Nonlinear Model Calibration حسب Montana N. Carlozo (22175927)

"…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …"

Bayesian Optimization Methods for Nonlinear Model Calibration حسب Montana N. Carlozo (22175927)

"…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …"

Bayesian Optimization Methods for Nonlinear Model Calibration حسب Montana N. Carlozo (22175927)

"…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …"

Bayesian Optimization Methods for Nonlinear Model Calibration حسب Montana N. Carlozo (22175927)

"…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …"