Stress Analysis of 2D-FG Rectangular Plates with Multi-Gene Genetic Programming
Created by W.Langdon from
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- @Article{demirbas:2022:AS,
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author = "Munise Didem Demirbas and Didem Cakir and
Celal Ozturk and Sibel Arslan",
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title = "Stress Analysis of {2D-FG} Rectangular Plates with
Multi-Gene Genetic Programming",
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journal = "Applied Sciences",
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year = "2022",
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volume = "12",
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number = "16",
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pages = "Article No. 8198",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2076-3417",
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URL = "https://www.mdpi.com/2076-3417/12/16/8198",
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DOI = "doi:10.3390/app12168198",
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abstract = "Functionally Graded Materials (FGMs) are designed for
use in high-temperature applications. Since the mass
production of FGM has not yet been made, the
determination of its thermo-mechanical limits depends
on the compositional gradient exponent value. In this
study, an efficient working model is created for the
thermal stress problem of the 2D-FG plate using
Multi-gene Genetic Programming (MGGP). In our MGGP
model in this study, data sets obtained from the
numerical analysis results of the thermal stress
problem are used, and formulas that give equivalent
stress levels as output data, with the input data being
the compositional gradient exponent, are obtained. For
the current problem, efficient models that reduce CPU
processing time are obtained by using the MGGP
method.",
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notes = "also known as \cite{app12168198}",
- }
Genetic Programming entries for
Munise Didem Demirbas
Didem Cakir
Celal Ozturk
Sibel Arslan
Citations