Genetic-Algorithm Programming Environments
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{RibeiroFilho:1994:GPE,
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author = "Jose L. {Ribeiro Filho} and Philip C. Treleaven and
Cesare Alippi",
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title = "Genetic-Algorithm Programming Environments",
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journal = "Computer",
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volume = "27",
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number = "6",
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pages = "28",
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month = jun,
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year = "1994",
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keywords = "genetic algorithms, genetic programming, PC/Beagle,
algorithm-oriented systems, application-oriented
systems, generational replacement policy,
genetic-algorithm programming environments,
population-handling technique, steady-state policy,
toolkits, application generators, mathematics
computing, programming environments, search problems",
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CODEN = "CPTRB4",
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ISSN = "0018-9162",
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bibdate = "Tue May 14 16:20:44 MDT 1996",
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acknowledgement = ack-nhfb,
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DOI = "doi:10.1109/2.294850",
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size = "16 pages",
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abstract = "This review classifies genetic-algorithm environments
into application-oriented systems, algorithm-oriented
systems, and toolkits. It also presents detailed case
studies of leading environments. Following Holland's
(1975) original genetic algorithm proposal, many
variations of the basic algorithm have been introduced.
However. an important and distinctive feature of all
GAs is the population-handling technique. The original
GA adopted a generational replacement policy, according
to which the whole population is replaced in each
generation. Conversely, the steady-state policy used by
many subsequent GAs selectively replaces the
population. After we introduce GA models and their
programming, we present a survey of GA programming
environments. We have grouped them into three major
classes according to their objectives:
application-oriented systems hide the details of GAs
and help users develop applications for specific
domains; algorithm-oriented systems are based on
specific GA models; and toolkits are flexible
environments for programming a range of GAs and
applications. We review the available environments and
describe their common features and requirements. As
case studies, we select some specific systems for more
detailed examination. To conclude, we discuss likely
future developments in GA programming environments",
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notes = "Zeluiz Also known as \cite{294850}",
- }
Genetic Programming entries for
Jose L Ribeiro Filho
Philip Treleaven
Cesare Alippi
Citations