An occam Library for Genetic Programming on Transputer Networks   [GP]

by

Ikram, I., M.

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Info: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (Conference proceedings), 1996, p. 1186-1189
Keywords:genetic algorithms, genetic programming, occam, Transputers
Abstract:
This paper describes the contents of a library of occam procedures used to implement parallel versions of the Genetic Programming (GP) machine learning paradigm. GP [GP] [ML] attempts to evolve solutions to machine learning problems, [ML] in the form of trees encoding programs or expressions. As occam lacks recursion and both higher order functions and function pointers, the implementation of a generic tree evaluation procedure for trees containing arbitrary functions is not trivial. We present a concurrent algorithm used to alleviate this problem.
Notes:
Ismail Ikram http://cs.ru.ac.za/homes/g93i0527/
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BibTex:
@InProceedings{PDPTA96b,
  author =       "I. M. Ikram",
  title =        "An occam Library for Genetic Programming on Transputer
                 Networks",
  booktitle =    "Proceedings of the International Conference on
                 Parallel and Distributed Processing Techniques and
                 Applications",
  year =         "1996",
  editor =       "Hamid R. Arabnia",
  pages =        "1186--1189",
  address =      "Sunnyvale, California",
  month =        "9-11 " # aug,
  publisher =    "CSREA",
  keywords =     "genetic algorithms, genetic programming, occam,
                 Transputers",
  abstract =     "This paper describes the contents of a library of
                 occam procedures used to implement parallel versions of
                 the Genetic Programming (GP) machine learning paradigm.
                 GP attempts to evolve solutions to machine learning
                 problems, in the form of trees encoding programs or
                 expressions. As occam lacks recursion and both higher
                 order functions and function pointers, the
                 implementation of a generic tree evaluation procedure
                 for trees containing arbitrary functions is not
                 trivial. We present a concurrent algorithm used to
                 alleviate this problem.",
  notes =        "Ismail Ikram http://cs.ru.ac.za/homes/g93i0527/",
}