Optimization process comparison of other parameters between traditional PS and VAPS using DH initial value when <i>μ</i> = 0.01. by Jianwei Liu (163716)

Optimization process comparison of dynamic response between traditional GA and PS (using DH initial value when <i>μ</i> = 0.01). by Jianwei Liu (163716)

Optimization process comparison of other parameters between second traditional GA and PS (using DH initial value when <i>μ</i> = 0.01). by Jianwei Liu (163716)

Displacement response comparison between ergodic search and traditional PS when <i>μ</i> remains constant. by Jianwei Liu (163716)

Optimization process comparison of displacement response among integer programming, ergodic search, and traditional PS (using DH initial value when <i>μ</i> = 0.01). by Jianwei Liu (163716)

Model optimization flow by MFO algorithm. by Ruoqi Wang (14958062)

“…The objective function of the genetic algorithm converges when it iterates to generation 903 and 107.9min. …”

Optimized algorithm framework diagram. by Xutao Liu (13006965)

“…Meanwhile, when using support vector machine classifier, the optimization algorithm can achieve the highest accuracy of motion recognition. …”

Firefly optimization algorithm flowchart. by Zhengyu Xu (8550660)

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

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. …”

Optimization process comparison of dynamic response between traditional PS and VAPS using DH initial value. by Jianwei Liu (163716)

Optimization algorithm parameter settings. by Xuhao Chen (11815106)

“…This paper constructs a robotic arm inverse kinematics model by reformulating the inverse kinematics problem as a constrained optimization problem and employs a multi-strategy improved Secretary Bird Optimization Algorithm (ISBOA) to achieve high-precision solutions. …”

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

Improved NSGA-II algorithm flowchart. by Ying Wang (11406)

“…Finally, the improved NSGA-II has a 23.33% increase in convergence speed and a 69.99% gain in operational efficiency when compared to the traditional NSGA-II. …”

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

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

Optimized system structure. by Xutao Liu (13006965)

“…Meanwhile, when using support vector machine classifier, the optimization algorithm can achieve the highest accuracy of motion recognition. …”

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

“…To address these problems, a genetic algorithm (GA) is adopted for optimizing the BPNN, and the EGA-BPNN model is used to predict irrigation flow in agricultural fields. …”

The parameter settings of the IPSO algorithm. by Guangyu Mu (762845)

“…Therefore, this paper constructs a hybrid forecasting model to solve this problem. First, this model introduces an improved inertia weight and an adaptive variation operation to enhance the Particle Swarm Optimization (PSO) algorithm. …”