Where does the Good Stuff Go, and Why? How contextual semantics influence program structure in simple genetic programming   [SG] [GP]

by

Goldberg, D., E. and O'Reilly, U.-M.

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Info: Proceedings of the First European Workshop on Genetic Programming (Conference proceedings), 1998, p. 16-36
Keywords:genetic algorithms, genetic programming
Abstract:
Using deliberately designed primitive sets, we investigate the relationship between context-based expression mechanisms and the size, height and density of genetic program trees [GP] [PT] during the evolutionary process. We show that contextual semantics influence the composition, location and flows of operative code in a program. In detail we analyze these dynamics and discuss the impact of our findings on micro-level descriptions of genetic programming. [GP]
Notes:
EuroGP'98 Also presented at the Canadian AI-98 Workshop on Evolutionary Computation Schedule, 17 June 1998 Simon Fraser University Harbour Center, Canada
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BibTex:
@InProceedings{goldberg:1998:good,
  author =       "David E. Goldberg and Una-May O'Reilly",
  title =        "Where does the Good Stuff Go, and Why? How contextual
                 semantics influence program structure in simple genetic
                 programming",
  booktitle =    "Proceedings of the First European Workshop on Genetic
                 Programming",
  year =         "1998",
  editor =       "Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer
                 and Terence C. Fogarty",
  volume =       "1391",
  series =       "LNCS",
  pages =        "16--36",
  address =      "Paris",
  publisher_address = "Berlin",
  month =        "14-15 " # apr,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-64360-5",
  URL =          "http://www.ai.mit.edu/people/unamay/papers/eurogp.final.ps",
  size =         "21 pages",
  abstract =     "Using deliberately designed primitive sets, we
                 investigate the relationship between context-based
                 expression mechanisms and the size, height and density
                 of genetic program trees during the evolutionary
                 process. We show that contextual semantics influence
                 the composition, location and flows of operative code
                 in a program. In detail we analyze these dynamics and
                 discuss the impact of our findings on micro-level
                 descriptions of genetic programming.",
  notes =        "EuroGP'98 Also presented at the Canadian AI-98
                 Workshop on Evolutionary Computation Schedule, 17 June
                 1998 Simon Fraser University Harbour Center, Canada",
}