A genetic programming approach to support the design of service compositions

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@Article{Aversano:2006:IJCSSE,

• author = "Lerina Aversano and Massimiliano {Di Penta} and Kunal Taneja",
• title = "A genetic programming approach to support the design of service compositions",
• journal = "International Journal of Computer Systems Science \& Engineering",
• year = "2006",
• volume = "21",
• number = "4",
• pages = "247--254",
• month = jul,
• organisation = "Curtin University of Technology, Australia",
• publisher = "CRL Publishing, admin@crlpublishing.co.uk",
• keywords = "genetic algorithms, genetic programming, SBSE, service compositions, distributed software, workflow",
• ISSN = "0267 6192",
• URL = "http://www.rcost.unisannio.it/mdipenta/papers/csse06.pdf",
• size = "8 pages",
• oai = "oai:CiteSeerXPSU:10.1.1.145.843",
• 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.",
• 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

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