Application of genetic programming and response surface methodology to optimization and inverse problems
Created by W.Langdon from
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- @InCollection{Toropov1998551,
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author = "V. V. Toropov and L. F. Alvarez",
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title = "Application of genetic programming and response
surface methodology to optimization and inverse
problems",
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editor = "M. Tanaka and G. S. Dulikravich",
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booktitle = "Inverse Problems in Engineering Mechanics",
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publisher = "Elsevier Science Ltd",
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address = "Oxford",
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year = "1998",
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pages = "551--560",
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isbn13 = "978-0-08-043319-6",
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DOI = "doi:10.1016/B978-008043319-6/50062-5",
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URL = "http://www.sciencedirect.com/science/article/B8558-4P9W00Y-28/2/7eacdd774e680f545fccdea2ddc0a1fb",
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keywords = "genetic algorithms, genetic programming",
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abstract = "Genetic Programming methodology is used for the
creation of approximation functions in the solution of
optimization and inverse problems. Genetic Programming
is a relatively new form of Artificial Intelligence,
and is based on the ideas of Darwinian evolution and
genetics. Two important aspects of the problem are
addressed: the choice of the plan of experiments and
the model tuning using the least-squares response
surface fitting. A test example is presented where the
technique is applied to a simple optimization
problem.",
- }
Genetic Programming entries for
Vassili V Toropov
Luis F Alvarez
Citations