Optimization of Actuator Arrangement of Cable–Strut Tension Structures Based on Multi-Population Genetic Algorithm Article Swipe
Huiting Xiong
,
Tingting Zhou
,
Pei Zhang
,
Z. J. Shang
,
Mithun Biswas
,
Hao Li
,
Huayang Zhu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/sym17050695
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/sym17050695
This study addresses the optimization of actuator arrangements in adaptive cable–strut tension structures to enhance structural controllability and performance. Two novel optimization criteria are proposed: (1) a weighted sensitivity criterion that integrates nodal displacements and internal force increments, and (2) a system strain energy criterion reflecting overall structural stiffness. Nonlinear optimization models are formulated for these criteria, with actuator positions as design variables, and solved using a robust multi-population genetic algorithm. The weighted sensitivity criterion prioritizes targeted control of specific nodes and members, while the strain energy criterion ensures balanced global response. Numerical validation is conducted on a Geiger cable dome and a four-layer tensegrity structure. Results demonstrate that both criteria yield actuator arrangements satisfying geometric symmetry while achieving high sensitivity in displacement and internal force control. The proposed framework offers practical insights for optimizing adaptive structures under static control requirements, and advances the field by bridging localized and global response optimization, enabling smarter, more resilient tension structures.
Related Topics
Concepts
Actuator
Genetic algorithm
Tension (geology)
Population
Computer science
Control theory (sociology)
Planar
Algorithm
Mathematical optimization
Materials science
Structural engineering
Mathematics
Engineering
Composite material
Artificial intelligence
Compression (physics)
Control (management)
Sociology
Computer graphics (images)
Demography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/sym17050695
- https://www.mdpi.com/2073-8994/17/5/695/pdf?version=1746102483
- OA Status
- gold
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410070907
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410070907Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/sym17050695Digital Object Identifier
- Title
-
Optimization of Actuator Arrangement of Cable–Strut Tension Structures Based on Multi-Population Genetic AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-01Full publication date if available
- Authors
-
Huiting Xiong, Tingting Zhou, Pei Zhang, Z. J. Shang, Mithun Biswas, Hao Li, Huayang ZhuList of authors in order
- Landing page
-
https://doi.org/10.3390/sym17050695Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-8994/17/5/695/pdf?version=1746102483Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2073-8994/17/5/695/pdf?version=1746102483Direct OA link when available
- Concepts
-
Actuator, Genetic algorithm, Tension (geology), Population, Computer science, Control theory (sociology), Planar, Algorithm, Mathematical optimization, Materials science, Structural engineering, Mathematics, Engineering, Composite material, Artificial intelligence, Compression (physics), Control (management), Sociology, Computer graphics (images), DemographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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