Convergence performance of MSCA algorithm on multimodal and composite functions. حسب Muhammad Zubair Rehman (11243478)

الموضوعات:

Statistical metrics of objective function for DFIG-based wind turbine system. حسب Davut Izci (15927452)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

الموضوعات:

Results of searching performance of different algorithm models on the Sphere function and Griewank function. حسب Rui Zhang (13940)

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. حسب Rui Zhang (13940)

The comparison results of all algorithms over 30 functions. حسب Adel Saad Assiri (9962517)

الموضوعات:

The comparison results of all algorithms over 30 functions. حسب Adel Saad Assiri (9962517)

الموضوعات:

Curves of sigmoid functions used in our proposed algorithm. حسب Binh Thanh Dang (12368831)

Auto-tuning algorithm of the weight factors in the cost function. حسب Syed Umaid Ali (14486372)

Flowchart of DAPF-RRT algorithm. حسب Zhenggang Wang (1753657)

الموضوعات: "…target gravitational function…"

Performance comparison of different algorithms. حسب Zhenggang Wang (1753657)

الموضوعات: "…target gravitational function…"

Flowchart of the proposed algorithm. حسب Heewon Chung (2881286)

الموضوعات:

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems حسب Dongge Lei (6836915)

الموضوعات: "…Imperialist competition algorithm…"

Average CPU time (s) of all the referenced algorithm on benchmark function. حسب Aihua Guo (13267712)

Flow chart of multi objective optimization algorithm based on NSGA-II. حسب Wangang Cai (14599879)

الموضوعات:

Box plots of different algorithms on CEC2017 test function. حسب Tengfei Ma (597633)

الموضوعات:

Procedure of the DCT-based EIT algorithm. حسب Rongqing Chen (249906)

الموضوعات:

Route for bays29 output by ABSQL algorithm. حسب Jin Zhang (53297)

"…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …"

Simulation parameters for the QL, ABSQL and DSRABSQL algorithms. حسب Jin Zhang (53297)

Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. حسب Raul Castañeda (13932971)