Comparative Evaluation of Optimization Algorithms at Training of Genetic Programming for Tensile Strength Prediction of FDM Processed Part
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Panda:2014:PMS,
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author = "Biranchi Narayan Panda and
M. V. A. Raju Bahubalendruni and Bibhuti Bhusan Biswal",
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title = "Comparative Evaluation of Optimization Algorithms at
Training of Genetic Programming for Tensile Strength
Prediction of {FDM} Processed Part",
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journal = "Procedia Materials Science",
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volume = "5",
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pages = "2250--2257",
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year = "2014",
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note = "International Conference on Advances in Manufacturing
and Materials Engineering, ICAMME 2014",
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ISSN = "2211-8128",
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DOI = "doi:10.1016/j.mspro.2014.07.441",
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URL = "http://www.sciencedirect.com/science/article/pii/S2211812814008062",
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abstract = "Fused deposition modelling (FDM) is a fast growing
rapid prototyping (RP) technology due to its ability to
build functional parts having complex geometrical
shapes in reasonable build time. The literature reveals
that the properties of RP built parts such as surface
roughness, strength, dimensional accuracy, build cost,
etc are related to and can be improved by the
appropriate settings of the input process parameters.
However, it is difficult to obtain an adequate strength
for some applications due to the characteristics of the
process. This paper, proposes particle swarm
optimisation (PSO) technique to suggest theoretical
combination of parameter settings to achieve good
strength simultaneously for all responses. Genetic
Programming (GP) is used to approximate the
relationship between process parameters (Layer
thickness, Raster angle, Raster width and Air gap) and
the Tensile strength that can withstand the part. The
performance of the proposed method is compared with
Differential Evolution (DE) algorithm in terms of
prediction accuracy and convergence characteristics.
Results show the potential of the both algorithm used
for, but DEA gives better result than PSO.",
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keywords = "genetic algorithms, genetic programming, Fused
Depostion Modelling (FDM), Differential Evolution
Algorithm (DEA), PSO.",
- }
Genetic Programming entries for
Biranchi Narayan Panda
M V A Raju Bahubalendruni
Bibhuti Bhusan Biswal
Citations