A Practical Approach to Evolving Concurrent Programs
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{jackson:2004:eurogp2,
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author = "David Jackson",
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title = "A Practical Approach to Evolving Concurrent Programs",
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booktitle = "Genetic Programming 7th European Conference, EuroGP
2004, Proceedings",
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year = "2004",
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editor = "Maarten Keijzer and Una-May O'Reilly and
Simon M. Lucas and Ernesto Costa and Terence Soule",
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volume = "3003",
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series = "LNCS",
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pages = "89--100",
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address = "Coimbra, Portugal",
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publisher_address = "Berlin",
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month = "5-7 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-21346-8",
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DOI = "doi:10.1007/978-3-540-24650-3_9",
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abstract = "Although much research has been devoted to devising
genetic programming systems that are capable of running
the evolutionary process in parallel, thereby improving
execution speed, comparatively little effort has been
expended on evolving programs which are themselves
inherently concurrent. A suggested reason for this is
that the vast number of parallel execution paths that
are open to exploration during the fitness evaluation
of population members renders evolutionary computation
prohibitively expensive. We have therefore investigated
the potential for minimising this expense by using a
far more limited exploration of the execution state
space to guide evolution. The approach, involving the
definition of sets of schedulings to enable a variety
of execution interleavings to be specified, has been
applied to the classic dining philosophers problem, and
has been found to evolve solutions that are as good as
those created by human programmers",
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notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
conjunction with EvoCOP2004 and EvoWorkshops2004",
- }
Genetic Programming entries for
David Jackson
Citations