Routing policy based on path satisfaction. by Yang Yu (4292)

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

Optimization results of the CHPDEED system. by Tao Dong (15551)

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Best convergence curves of the algorithms with respect to iteration number. by Erdal Eker (19251018)

Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. by Akshansh Mishra (21001499)

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Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx by Xuehui Fan (10762662)

Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 8_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 6_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 3_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 4_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Process of GWO optimization. by Ning Ji (325849)

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The fitness value for each algorithm to execute under four virtual machines. by Chaoze Lu (20542500)

Pseudocode of the WACO algorithm. by Chattriya Jariyavajee (12822281)

“…The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”

Comparing the best optimal layout found by SA-MDPs and CPLEX for a ED-K1–11/B classroom (a) The best optimal layout found by SA-MDPs (b) The best optimal layout found by CPLEX. by Bayram Dundar (10129744)

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The Kapur entropy obtained by algorithms over the 16 benchmark images with 12-bit depth. by Jiaqi Ma (773451)

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Flowchart of the artificial bee colony algorithm. by Wei Su (89824)

“…This study proposes a hybrid model (MABC-LSSVM) that combines a modified artificial bee colony (MABC) optimization algorithm with a least squares support vector machine (LSSVM) model. …”

Best three-dimensional trajectory planning by each algorithm. by Yuefeng Leng (20678476)

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