Comparison with SOTA model in number of iterations and final cost. by Zixi Wang (459102)

Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

“…Secondly, the EGA-BPNN model can overcome the local optimization and overfitting problems of traditional BPNN through the global search ability of GA. …”

Algorithm parameter levels. by Peng Yao (448155)

“…We propose a novel optimization algorithm, the Improved Grey Wolf Optimization (IGWO), for solving the tugboat scheduling model. …”

The conceptual model of boundary selection strategy. by Zhenjing Xie (18196063)

Model frame drawing. by 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. …”

Iteration curves of each algorithm. by Peng Yao (448155)

“…We propose a novel optimization algorithm, the Improved Grey Wolf Optimization (IGWO), for solving the tugboat scheduling model. …”

Weighted covariance matrix based GEDM model. by 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. …”

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

“…We show that GPBO is more efficient than other popular derivative-free search algorithms, including genetic algorithms, the Nelder–Mead algorithm, or the simplicial homology global optimization algorithm. …”

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

“…We show that GPBO is more efficient than other popular derivative-free search algorithms, including genetic algorithms, the Nelder–Mead algorithm, or the simplicial homology global optimization algorithm. …”

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

“…We show that GPBO is more efficient than other popular derivative-free search algorithms, including genetic algorithms, the Nelder–Mead algorithm, or the simplicial homology global optimization algorithm. …”

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

“…We show that GPBO is more efficient than other popular derivative-free search algorithms, including genetic algorithms, the Nelder–Mead algorithm, or the simplicial homology global optimization algorithm. …”

The comparison chart of algorithm fitness values. by Taochang Li (20642935)

“…First, the diversity of the population and the global exploration capability of the algorithm are enhanced through the integration of the Cauchy mutation strategy and uniform distribution strategy. …”

Supporting Materials & Appendices .docx by Mahmud Siamizade (11375019)

“…Implementation of the proposed global optimization algorithm and Normalized multiparametric disaggregation techniques (NMDT).…”

Parameters of the tugboat scheduling model. by Peng Yao (448155)

“…We propose a novel optimization algorithm, the Improved Grey Wolf Optimization (IGWO), for solving the tugboat scheduling model. …”

Algorithm flowchart. by Xu Yang (112496)

Flow chart of density peak clustering algorithm. by 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. …”

Image_1_On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell.TIF by Milagros Marín (7858850)

“…Also, the set of selected cerebellar GrC models captured spiking dynamics closer to the reference model than the single model obtained with off-the-shelf parameter optimization algorithms used in our previous article. …”

Optimization of <i>KIR3DL1/S1</i> allele imputation using data from Europeans. by Genelle F. Harrison (12119661)

Results of ablation experiment. by 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. …”

Training process. by 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. …”