Using Software Engineering Knowledge to Drive Genetic Program Design Using Cultural Algorithms Exploiting the Synergy of Software Engineering Knowledge in Evolutionary Design
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- @InCollection{ostrowski:2003:GPTP,
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author = "David A. Ostrowski and Robert G. Reynolds",
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title = "Using Software Engineering Knowledge to Drive Genetic
Program Design Using Cultural Algorithms Exploiting the
Synergy of Software Engineering Knowledge in
Evolutionary Design",
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booktitle = "Genetic Programming Theory and Practice",
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publisher = "Kluwer",
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year = "2003",
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editor = "Rick L. Riolo and Bill Worzel",
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chapter = "5",
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pages = "63--80",
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keywords = "genetic algorithms, genetic programming, cultural
algorithms, Hybrid genetic programming environments,
agent-based modeling, OEM strategy evolution, black box
testing, white box testing",
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ISBN = "1-4020-7581-2",
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URL = "http://www.springer.com/computer/ai/book/978-1-4020-7581-0",
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DOI = "doi:10.1007/978-1-4419-8983-3_5",
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abstract = "In this paper we use Cultural Algorithms as a
framework in which to embed a white and black box
testing strategy for designing and testing large-scale
GP programs. The model consists of two populations, one
supports white box testing of a Genetic Programming
system and the other supports black box testing. The
two populations communicate by sending information to a
shared belief space. This allows a potential synergy
between the two activities. Next, we exploit this
synergy in order to evolve an OEM pricing strategy in a
complex agent-based market environment. The new pricing
strategy generated over $2 million dollars in revenue
during the assessment period and outperformed the
previous optimal strategy.",
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notes = "Part of \cite{RioloWorzel:2003}",
- }
Genetic Programming entries for
David A Ostrowski
Robert G Reynolds
Citations