A genetic programming approach to support the design of service compositions
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @Article{Aversano:2006:IJCSSE,
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author = "Lerina Aversano and Massimiliano {Di Penta} and
Kunal Taneja",
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title = "A genetic programming approach to support the design
of service compositions",
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journal = "International Journal of Computer Systems Science \&
Engineering",
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year = "2006",
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volume = "21",
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number = "4",
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pages = "247--254",
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month = jul,
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organisation = "Curtin University of Technology, Australia",
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publisher = "CRL Publishing, admin@crlpublishing.co.uk",
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keywords = "genetic algorithms, genetic programming, SBSE, service
compositions, distributed software, workflow",
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ISSN = "0267 6192",
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URL = "http://www.rcost.unisannio.it/mdipenta/papers/csse06.pdf",
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size = "8 pages",
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oai = "oai:CiteSeerXPSU:10.1.1.145.843",
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abstract = "The design of service composition is one of the most
challenging research problems in service-oriented
software engineering. Building composite services is
concerned with identifying a suitable set of services
that orchestrated in some way is able to solve a
business goal which cannot be resolved using a single
service amongst those available. Despite the literature
reports several approaches for (semi) automatic service
composition, several problems, such as the capability
of determining the composition's topology, still remain
open. This paper proposes a search-based approach to
semi-automatically support the design of service
compositions. In particular, the approach uses genetic
programming to automatically generate workflows that
accomplish a business goal and exhibit a given QoS
level, with the aim of supporting the service
integrator activities in the finalization of the
workflow.",
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notes = "WSDL, BPEL4WS. GP tree made of sequence, switch flow,
loop nodes. Pop=100, Generations=1000, initioal pop<= 5
nodes. Fitness based on precision and recall. GP
compared with exhuastive search. Cited by
\cite{Rodriguez-Mier:2010:EI}, cites \{1068189} GECCO
2005. SeCSEP",
- }
Genetic Programming entries for
Lerina Aversano
Massimiliano Di Penta
Kunal Taneja
Citations