Modeling Gilliland Correlation using Genetic Programming
Created by W.Langdon from
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- @Article{OlteanuPaCa10,
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author = "Marius Olteanu and Nicolae Paraschiv and
Otilia Cangea",
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year = "2010",
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title = "Modeling Gilliland Correlation using Genetic
Programming",
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journal = "International Journal of Computers, Communications \&
Control",
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volume = "V",
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number = "5",
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pages = "837--843",
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month = dec,
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keywords = "genetic algorithms, genetic programming, matlab,
GPLAB",
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ISSN = "1841-9836",
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URL = "http://univagora.ro/jour/index.php/ijccc/article/view/2244",
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URL = "http://www.journal.univagora.ro/download/pdf/469.pdf",
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size = "7 pages",
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abstract = "The distillation process is one of the most important
processes in industry, especially petroleum refining.
Designing a distillation column assesses numerous
challenges to the engineer, being a complex process
that is approached in various studies. An important
component, directly affecting the efficient operation
of the column, is the reflux ratio that is correlated
with the number of the theoretical stages, a
correlation developed and studied by Gililland. The
correlation is used in the case of simplified control
models of distillation columns and it is a graphical
method. However, in many situations, there is the need
for an analytical form that adequately approximates the
experimental data. There are in the literature
different analytical forms which are used taking into
account the desired precision. The present article
attempts to address this problem by using the technique
of Genetic Programming, a branch of Evolutionary
Algorithms that belongs to Artificial Intelligence, a
recently developed technique that has recorded
successful applications especially in process
modelling. Using an evolutionary paradigm and by
evolving a population of solutions or subprograms
composed of carefully chosen functions and operators,
the Genetic Programming technique is capable of finding
the program or relation that fits best the available
data.",
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notes = "journal.univagora.ro/",
- }
Genetic Programming entries for
Marius Olteanu
Nicolae Paraschiv
Otilia Cangea
Citations