A Genetic Programming Ecosystem
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{devaney:2001:gpe,
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author = "Judith Devaney and John Hagedorn and
Olivier Nicolas and Gagan Garg and Aurelien Samson and Martial Michel",
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title = "A Genetic Programming Ecosystem",
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booktitle = "Proceedings 15th International Parallel and
Distributed Processing Symposium, Abstracts and CDROM",
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year = "2001",
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pages = "1323--1330",
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address = "Los Alamitos, CA, USA",
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howpublished = "Abstracts and CD-ROM",
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month = "23-27 " # apr,
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publisher = "IEEE Computer Society",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-7695-0990-8",
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URL = "http://math.nist.gov/mcsd/savg/papers/bio.pdf",
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URL = "http://math.nist.gov/mcsd/savg/papers/bio.pp.gz",
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note = "IPDPS2001:WS",
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abstract = "Algorithms are needed in every aspect of parallel
computing. Genetic Programming is an evolutionary
technique for automating the design of algorithms
through iterative steps of mutation and crossover
operations on an initial population of randomly
generated computer programs. This paper describes a
novel parallel genetic programming (GP) system inspired
by the symbiogenesis model of evolution, wherein new
organisms are generated through the absorption of
different life-forms in addition to the usual mutation
and crossover operations. Different organisms are
expressed in this GP system through multiple program
representations. Two program representations considered
in this paper are the procedural representation (PR)
and the tree representation (TR). Populations of these
representations evolve separately. Individuals in each
population migrate to the other and participate in
evolution via representation change algorithms.
Parallelism is achieved through use of the
AutoMap/AutoLink MPI library. The differences in the
locality properties of the representations serve as a
source of new ideas for creating the final algorithm.",
- }
Genetic Programming entries for
Judith E Devaney
John G Hagedorn
Olivier Nicolas
Gagan Garg
Aurelien Samson
Martial Michel
Citations