Parallel Genetic Programming Induction of Binary Decision Diagrams
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @TechReport{miccio:1995:pGPiBDD,
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author = "Christian Miccio and Eduardo Sanchez and
Marco Tomassini",
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title = "Parallel Genetic Programming Induction of Binary
Decision Diagrams",
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institution = "Ecole Polytechnique Federal de Lausanne, EPFL",
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year = "1995",
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number = "7",
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address = "Switzerland",
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month = nov,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/miccio_1995_pGPiBDD.pdf",
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URL = "http://lslwww.epfl.ch/pages/publications/papers9195/home.html",
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size = "8 pages",
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abstract = "Genetic programming is a new technique for machine
learning, program induction and optimization loosely
based on an evolutionary paradigm. Genetic programming
is easily amenable to parallel computing which help
relieve the intrinsic slowness of the approach. We
describe a parallel implementation of genetic
programming on the T3D computer. We apply the system to
a problem of induction of binary decision diagrams used
in logical circuit design. It is shown that the results
depend in a critical way on the representation of the
decision diagrams and that the parallel implementation
is able to find the correct solution with less
computational effort than the sequential version.",
-
notes = "miccio_1995_pGPiBDD.pdf appears to be copy of web
page",
- }
Genetic Programming entries for
Christian Miccio
Eduardo Sanchez
Marco Tomassini
Citations