The iterative curves of the algorithms. by Qinghe Guo (21519322)

“…To address these challenges, a fractional-order PID (FOPID) controller optimization method based on the Multi-Strategy Improved Beluga Whale Optimization (MSIBWO) algorithm is proposed. …”

The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

Subjects: “…multiobjective evolutionary algorithm…”

The Pareto-optimal fronts on the regular network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

Subjects: “…multiobjective evolutionary algorithm…”

APL, ACC and ACC /APL of the optimal networks with different goals and number of added edges. by Ruochen Zhang (3434996)

Subjects: “…multiobjective evolutionary algorithm…”

Comparative analysis of the MAGT-toll algorithm and the no-toll situation on selected roads. by Jiaming Lu (8608989)

Extent of sub-optimality and solve time for the three methods Troika, Combo, and Gurobi IP on the BA instances. by Samin Aref (22226678)

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Performance comparison of different path planning algorithms combined with ST-GNN. by Xue Xing (20756069)

Subjects:

Statistical graph of processing time of each algorithm in six experimental networks when K = 30 and p = 0.01. by Lihong Han (7280045)

Subjects:

Flow chart of the Improved Kepler Orbital Algorithm (IKOA). by Hao Yang (328526)

Path length variation diagram of each algorithm. by Yun Qi (560401)

“…These enhancements are compared against single-strategy improved WOAs.Subsequently, path planning simulations were conducted using several extracted algorithms and grid-based methods. The results demonstrate that the optimal path length achieved by the Multi-Strategy WOA (MSWOA) is 41.7% shorter than that of the standard WOA, 42.3% shorter than WOA-1, and 48.5% shorter than PSO for the shortest path. …”

Simulation results of each algorithm path map. by Yun Qi (560401)

“…These enhancements are compared against single-strategy improved WOAs.Subsequently, path planning simulations were conducted using several extracted algorithms and grid-based methods. The results demonstrate that the optimal path length achieved by the Multi-Strategy WOA (MSWOA) is 41.7% shorter than that of the standard WOA, 42.3% shorter than WOA-1, and 48.5% shorter than PSO for the shortest path. …”

Flowchart of simple ant colony algorithm. by Yang Yu (4292)

“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”

Algorithm performance test results. by Yue Guo (695495)

Accelerated algorithms adaptation statistics. by Bosen Zeng (22404042)

“…Deep reinforcement learning (DRL) algorithms are integrated into RICs to address dynamic O-RAN slicing challenges. …”

Optimal control for realistic simulated epidemics with uncertainty in the estimated reproduction number. by Sandor Beregi (22177739)

data_code.zip by Mengmeng Gong (20129994)

“…In this study, we conduct an in-depth investigation of a novel adaptive covariance inflation algorithm (t-X) within the framework of an observation system simulation experiment (OSSE) based on anintermediate coupled model (ICM) and the Ensemble Adjustment KF(EAKF), aiming to develop a joint approach for optimizing both model parameters and initial fields simultaneously. …”

Table 2_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.docx by Xinrui Wang (488330)

“…After min-max normalization, six classification models—KNN, AdaBoost, Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and XGBoost—were developed, and the Sparrow Search Algorithm (SSA) was employed to optimize hyperparameters for enhanced performance.…”

Table 1_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.xlsx by Xinrui Wang (488330)

“…After min-max normalization, six classification models—KNN, AdaBoost, Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and XGBoost—were developed, and the Sparrow Search Algorithm (SSA) was employed to optimize hyperparameters for enhanced performance.…”

Comparison of multi-speed characteristic curves of centrifugal compressor before and after optimization. by Ning Yu (358970)

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Basic block diagram of our proposed CSA-ADAM optimized ANN model. by Muhammad Sadiq (9449915)

Subjects: