The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

Optimality of the algorithm (REA). by Wuyang Yu (1644781)

Subjects:

Algorithmic representation of proposed approach for hybrid GP-PSO based robust simulation-optimization under uncertainty. by Amir Parnianifard (5355452)

Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.XLSX by Yangyang Liu (807797)

Optimal locations of RISs based on the IROA algorithm for case study 3. by Wafaa Alsaggaf (21465030)

Optimal locations of RISs based on the IROA algorithm for case study 4. by Wafaa Alsaggaf (21465030)

Optimal locations of RISs based on the compared algorithms for case study 2. by Wafaa Alsaggaf (21465030)

Optimal locations of RISs based on the compared algorithms for case study 1. by Wafaa Alsaggaf (21465030)

Optimal hyperparameters of the model-agnostic meta-learning algorithm with few-shot tasks. by Soraya Khanmohmmadi (21539953)

Optimal scheduling model of microgrid based on improved dung beetle optimization algorithm by Yu Gao (69071)

“…<p>In view of the strong uncertainty and intermittency of distributed power sources in microgrids and the shortcomings of the traditional dung beetle optimizer (DBO) algorithm with slow convergence, poor robustness and ease of falling into a local optimum, an optimal scheduling model for microgrids based on the improved dung beetle optimization algorithm is proposed. …”

The proposed robust <i>H</i>∞ controller based on GWO for UVMS. by Yong Dai (108856)

Robustness test results of distribution system in province A of China. by Qingbo Tu (22641033)

Algorithm of ACO–SVR hyperparameter optimization. by C. Kishor Kumar Reddy (18078564)

“…The paper employs the Ant Colony Optimization (ACO) algorithm to enhance the precision of barrier placement and resource allocation. …”

Individual achievable rate of the users based on different optimization algorithm for case study 1. by Wafaa Alsaggaf (21465030)

Individual achievable rate of the users based on different optimization algorithm for case study 4. by Wafaa Alsaggaf (21465030)

Individual achievable rate of the users based on different optimization algorithm for case study 3. by Wafaa Alsaggaf (21465030)

Individual achievable rate of the users based on different optimization algorithm for case study 2. by Wafaa Alsaggaf (21465030)

Algorithm performance under different problem sizes. by Tingting Zhang (264633)