APSO–WOA–CNN and APSO–CNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

Subjects:

APSO–WOA–CNN and APSO–CNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

Subjects:

<i>p</i>-values of the Wilcoxon rank-sum test in terms of average of benchmark functions. by Bitanu Chatterjee (15295261)

The objective function values of the solution obtained from the five models. by Tipaluck Krityakierne (12666825)

Initial values of the reward shaping function components as individual’s chromosome. by Larasmoyo Nugroho (18078260)

Convergence curves for SGHHO and advanced algorithms on 9 selected benchmark functions. by Qiong Wu (84327)

Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. by Jiaxi Wang (545353)

The average fitness value results of three algorithms under optimized algebraic changes. by Jun Sun (48981)

The components of an AVR system along with their transfer functions and adopted values. by Serdar Ekinci (15927455)

Fitness values of IRBMO vs. other feature selection algorithm. by Chenyi Zhu (9383370)

Subjects:

Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Subjects:

F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Subjects:

Performance as a function of the number of algorithm executions for the full-sized matrix design. by Jörg Felder (5848541)

The optimization results of each algorithm for the CEC2019 benchmark functions. by Guangwei Liu (181992)

Subjects:

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

Comparison results of output current and voltage between LADRC algorithm and PID algorithm. by Jian Kong (164512)

Subjects: “…direction preference algorithms…”

Convergence graphs of CEC2021 test functions. by Yu Liu (6938)

Subjects:

Wilcoxon p-value of the en-CSA vs baseline algorithms for CEC2020. by Sarah A. Alzakari (19704611)

Performance comparison of mainstream algorithms. by Junjie Lu (160350)

Subjects: