Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

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

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

Optimal results of the different algorithms on the speed design reducer problem. حسب Guangwei Liu (181992)

Optimal results of the different algorithms on the pressure vessel design problem. حسب Guangwei Liu (181992)

Optimal results of the different algorithms on the gear train design problem. حسب Guangwei Liu (181992)

Optimal results of the different algorithms on the tension/compression spring design problem. حسب Guangwei Liu (181992)

Homomorphic binary tree. حسب Jianhua He (341366)

Layout of the primary 3D manufacturing cell facility [5]. حسب Yanlin Zhao (251552)

Principle of the SVM algorithm. حسب Anfeng Zhu (17817144)

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

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Speed reducer design problem. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Pressure vessel design problem. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Gear train design problem. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

Tension/compression spring design problem. حسب Guangwei Liu (181992)

"…The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low accuracy, and premature convergence when dealing with complex problems. …"

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

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

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

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"