Predicting the climbing rate of slip formwork systems using linear biogeography-based programming
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- @Article{GOLAFSHANI:2018:ASCa,
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author = "Emadaldin Mohammadi Golafshani and Siamak Talatahari",
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title = "Predicting the climbing rate of slip formwork systems
using linear biogeography-based programming",
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journal = "Applied Soft Computing",
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year = "2018",
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volume = "70",
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pages = "263--278",
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month = sep,
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keywords = "genetic algorithms, genetic programming, Slip
formwork, Climbing rate, Linear biogeography-based
programming, Linear genetic programming",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2018.05.036",
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URL = "http://www.sciencedirect.com/science/article/pii/S1568494618303119",
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abstract = "Nowadays, it is undeniable necessity to select a fast
and appropriate method for construction of high rise
concrete structures. Slip formwork technology, as an
automatic formwork system, has many advantages for high
rise buildings and can reduce the construction time and
costs. However, the climbing rate of slip formwork
systems is a challenging task and depends on different
factors. In this paper, the potential factors in
calculating the climbing rate were identified. Then, a
comprehensive database including 81 slip formwork
projects in Iran was gathered. Afterwards, a symbolic
regression method called linear biogeography-based
programming was introduced and applied for extracting a
formula that obtains a good climbing rate of slip
formwork systems. For evaluating the performance of the
proposed method, artificial neural network and linear
genetic programming were used as well. The results show
that the proposed formulation has good agreement with
actual values of climbing rate of slip forming systems
with low error and complexity and find it to be quite
confident. Moreover, weather conditions criteria is
known as the most effective parameter in climbing the
rate of slip formwork systems based on the performed
sensitivity analysis",
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notes = "Department of Civil Engineering, Architecture and Art,
Science and Research Branch, Islamic Azad University,
Tehran, Iran",
- }
Genetic Programming entries for
Emadaldin Mohammadi Golafshani
Siamak Talatahari
Citations