Clone selection programming and its application to symbolic regression
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- @Article{Gan20093996,
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author = "Zhaohui Gan and Tommy W. S. Chow and W. N. Chau",
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title = "Clone selection programming and its application to
symbolic regression",
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journal = "Expert Systems with Applications",
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volume = "36",
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number = "2, Part 2",
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pages = "3996--4005",
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year = "2009",
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ISSN = "0957-4174",
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DOI = "DOI:10.1016/j.eswa.2008.02.030",
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URL = "http://www.sciencedirect.com/science/article/B6V03-4S02048-9/2/d5a34ad92d4cf0f6f5e33f4407a2776f",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Clone selection, Programming,
Immune system, Gene expression",
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abstract = "A new idea [`]clone selection programming (CSP)' is
introduced in this paper. The proposed methodology is
used for deriving new algorithms in the area of
evolutionary computing aimed at solving a wide range of
problems. In CSP, antibodies represent candidate
solutions, which are encoded according to the structure
of antibody. The antibodies are able to keep syntax
correct even they are changed with iterations. Also,
the clone selection principle is developed as a search
strategy. The proposed strategies have been thoroughly
evaluated by intensive simulations. The results
demonstrate the effectiveness and excellent convergent
qualities of the CSP based search strategy. In our
study, the convergence rate with respect to population
size and other parameters is studied. A thorough
comparative study between our proposed CSP based method
with the gene expression programming (GEP), and immune
programming (IP) are included. The comparative results
show that the CSP based method can significantly
improve the program performance. The experimental
results indicate that the proposed method is very
robust under all the investigated cases.",
- }
Genetic Programming entries for
Zhaohui Gan
Tommy Wai-Shing Chow
Wing-Nam Chau
Citations