Non-Destructive Depth-Dependent Crossover for Genetic                  Programming 
Created by W.Langdon from
gp-bibliography.bib Revision:1.8620
- @InProceedings{ito:1998:nddx,
 
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  author =       "Takuya Ito and Hitoshi Iba and Satoshi Sato",
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  title =        "Non-Destructive Depth-Dependent Crossover for Genetic
Programming",
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  booktitle =    "Proceedings of the First European Workshop on Genetic
Programming",
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  year =         "1998",
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  editor =       "Wolfgang Banzhaf and Riccardo Poli and 
Marc Schoenauer and Terence C. Fogarty",
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  volume =       "1391",
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  series =       "LNCS",
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  pages =        "71--82",
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  address =      "Paris",
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  publisher_address = "Berlin",
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  month =        "14-15 " # apr,
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  publisher =    "Springer-Verlag",
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  keywords =     "genetic algorithms, genetic programming",
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  ISBN =         "3-540-64360-5",
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  DOI =          "
10.1007/BFb0055929",
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  abstract =     "In our previous paper [Ito et al., 1998], a
depth-dependent crossover was proposed for GP. The
purpose was to solve the difficulty of the blind
application of the normal crossover, i.e., building
blocks are broken unexpectedly. In the depth-dependent
crossover, the depth selection ratio was varied
according to the depth of a node. However, the
depth-dependent crossover did not work very effectively
as generated programs became larger. To overcome this,
we introduce a non-destructive depth-dependent
crossover, in which each offspring is kept only if its
fitness is better than that of its parent. We compare
GP performance with the depth-dependent crossover and
that with the non-destructive depth-dependent crossover
to show the effectiveness of our approach. Our
experimental results clarify that the non-destructive
depth-dependent crossover produces smaller programs
than the depth-dependent crossover.",
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  notes =        "EuroGP'98. Santa Fe artificial ant",
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  affiliation =  "Japan Advanced Institute of Science and Technology
School of Information Science 1-1 Asahidai 923-12
Tatsunokuchi, Nomi, Ishikawa Japan",
 
- }
 
Genetic Programming entries for 
Takuya Ito
Hitoshi Iba
Satoshi Sato
Citations