2018
DOI: 10.1007/s40684-018-0027-4
|View full text |Cite
|
Sign up to set email alerts
|

Multi-objective Global Optimization for Deformation Near a Hole in an Oxide Forming Alloy Foil Subjected to Thermal Cycling

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 23 publications
0
2
0
Order By: Relevance
“…The difference between the traditional genetic algorithm and the multi-island algorithm is that the multi-island genetic algorithm divides the entire population into several subgroups. The groups are isolated from each other on different islands, where each subgroup evolves independently instead of all the populations adopting the same evolution mechanism, and each island carries out a migration operation at a certain time interval so that each island’s multi-island genetic algorithm can effectively increase the speed of calculation; several independently evolved subgroups increase the genetic diversity of the entire population, so it can also avoid the premature phenomenon of traditional genetic algorithms, which is conducive to finding the global optimum untie. …”
Section: Optimal Results and Discussionmentioning
confidence: 99%
“…The difference between the traditional genetic algorithm and the multi-island algorithm is that the multi-island genetic algorithm divides the entire population into several subgroups. The groups are isolated from each other on different islands, where each subgroup evolves independently instead of all the populations adopting the same evolution mechanism, and each island carries out a migration operation at a certain time interval so that each island’s multi-island genetic algorithm can effectively increase the speed of calculation; several independently evolved subgroups increase the genetic diversity of the entire population, so it can also avoid the premature phenomenon of traditional genetic algorithms, which is conducive to finding the global optimum untie. …”
Section: Optimal Results and Discussionmentioning
confidence: 99%
“…In our previous study, a 2-layer theoretical model was derived to study the hole deformation under the thermal cycling loads. However, the results of the 2-layer theoretical model give good agreement on the behavior of the hole with the TGO layer forming on the inner surfaces as well as the lateral outer surface of the hole.…”
Section: Introductionmentioning
confidence: 99%