The final grasping of the experimental UVMS. by Yong Dai (108856)

Optimization results of different algorithms. by Haijian Wang (746739)

“…Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …”

The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

“…In the third stage, the fuzzy goal programming (FGP) method is applied, incorporating the prediction errors from the previous stage. The model is optimized in GAMS software, considering each Index’s objectives in a fuzzy context, with the results presented separately for different objectives. …”

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. …”

The flowchart of Algorithm 2. by 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. …”

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization by Jiancong Xiao (22265935)

“…However, we argue that the predominant approach for aligning LLMs with human preferences through a reward model—reinforcement learning from human feedback (RLHF)—suffers from an inherent algorithmic bias due to its Kullback–Leibler-based regularization in optimization. …”

Optimization flow chart of the AO algorithm. by Haijian Wang (746739)

“…Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …”

Final delivery routes of vehicle-assisted UAVs. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …”

Algorithm training accuracy experiments. by Yingying Liu (360782)

Kappa coefficients for different algorithms. by Yingying Liu (360782)

Simulated trajectories from real data, optimal schedule, and nearest optimal schedule. by Samuel Christensen (9922554)

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. …”

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

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. …”

Variable performance in 250 top-performing models and the subset of 12 models selected from these used to create the final projections for the predicted habitat distributions of Te... by Elise Varaela Voltura (17592996)

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

“…With this the entire optimization is complete. B: Barchart of costs for the four different models, comparing the initial cost with the final cost obtained using three different algorithms from the scipy.minimize library. …”

Overall workflow diagram of the proposed model. by Mohd Sakib (20565228)

“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”

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. …”

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

“…By defining optimization objectives as ignition delay times predicted by a reference model, the use of the differential evolution algorithm significantly accelerated the adjustment process of reaction rate parameters during model development. …”

Model evaluation indicators. by Li Wang (15202)

“…A deep reinforcement learning model is proposed, which can realize the mutual conversion of water quality data prediction models at different times, select the optimal prediction strategy of lake eutrophication at the current time according to its own continuous learning, and improve the reinforcement learning algorithm. …”