Search alternatives:
design optimization » bayesian optimization (Expand Search)
point optimization » joint optimization (Expand Search), policy optimization (Expand Search), cost optimization (Expand Search)
samples point » sample point (Expand Search), sample points (Expand Search), sampling point (Expand Search)
primary data » primary care (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
design optimization » bayesian optimization (Expand Search)
point optimization » joint optimization (Expand Search), policy optimization (Expand Search), cost optimization (Expand Search)
samples point » sample point (Expand Search), sample points (Expand Search), sampling point (Expand Search)
primary data » primary care (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
-
17
Speed reducer design problem.
Published 2023“…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. …”
-
18
Pressure vessel design problem.
Published 2023“…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. …”
-
19
Gear train design problem.
Published 2023“…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. …”
-
20