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)

Sampling points during the 6th respiration. حسب Feng Gao (3548)

Action potential of sample points in model 1. حسب Hang Zhao (143592)

Action potential of sample points in model 2. حسب Hang Zhao (143592)

Action potential of sample points in model 0. حسب Hang Zhao (143592)

The structure of the sample point generator in Dysample. حسب Mengqi Yuan (4852555)

N₂O mass fraction at 9 sampling points. حسب Feng Gao (3548)

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

Failure Samples and Fitting Results. حسب Dongyan Wang (195482)

Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties حسب Tamara Cantú Maltauro (15199725)

Grid independence test for: (a) Temperature, (b) Velocity W, (c) Velocity U, and (d) Sampling points in the X-Z plane. حسب Feng Gao (3548)

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

Test results of composite sample distribution. حسب Shaoxia Mou (16510383)

الموضوعات:

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. …"

<i>T</i>_<i>ca</i> and schemes distribution of the sample point. حسب Weijian Li (762796)