Search engine case study: searching the web using genetic programming and MPI
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Walker:2001:PC,
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author = "Reginald L. Walker",
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title = "Search engine case study: searching the web using
genetic programming and {MPI}",
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journal = "Parallel Computing",
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volume = "27",
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pages = "71--89",
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year = "2001",
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number = "1-2",
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month = jan,
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keywords = "genetic algorithms, genetic programming, Distributed
computing, Information retrieval, World Wide Web,
Search engines",
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URL = "http://www.sciencedirect.com/science/article/B6V12-42K5HNX-4/1/57eb870c72fb7768bb7d824557444b72",
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ISSN = "0167-8191",
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DOI = "doi:10.1016/S0167-8191(00)00089-2",
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abstract = "The generation of a Web page follows distinct sources
for the incorporation of information. The earliest
format of these sources was an organized display of
known information determined by the page designers'
interest and/or design parameters. The sources may have
been published in books or other printed literature, or
disseminated as general information about the page
designer. Due to a growth in Web pages, several new
search engines have been developed in addition to the
refinement of the already existing ones. The use of the
refined search engines, however, still produces an
array of diverse information when the same set of
keywords are used in a Web search. Some degree of
consistency in the search results can be achieved over
a period of time when the same search engine is used,
yet, most initial Web searches on a given topic are
treated as final after some form of
refinement/adjustment of the keywords used in the
search process. To determine the applicability of a
genetic programming (GP) model for the diverse set of
Web documents, search strategies behind the current
search engines for the World Wide Web were studied. The
development of a GP model resulted in a parallel
implementation of a pseudo-search engine indexer
simulator. The training sets used in this study
provided a small snapshot of the computational effort
required to index Web documents accurately and
efficiently. Future results will be used to develop and
implement Web crawler mechanisms that are capable of
assessing the scope of this research effort. The GP
model results were generated on a network of SUN
workstations and an IBM SP2.",
- }
Genetic Programming entries for
Reginald L Walker
Citations