Genetic Programming Applications in Financial Modelling: A Brief Survey
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{yin:2008:WSSEC,
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author = "Zheng Yin and Anthony Brabazon and Conall O'Sullivan",
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title = "Genetic Programming Applications in Financial
Modelling: A Brief Survey",
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booktitle = "Workshop/Summer School on Evolutionary Computing
Lecture Series by Pioneers (WSSEC 2008)",
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year = "2008",
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editor = "T. M. McGinnity",
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pages = "30--33",
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address = "Londonderry, UK",
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month = "18-22 " # aug,
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organisation = "School of Computing and Intelligent Systems,
University of Ulster",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/yin_2008_WSSEC.pdf",
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size = "4 pages",
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abstract = "Genetic Programming (GP) is an automated computational
programming methodology, inspired by the workings of
natural evolution techniques. This paper reviews its
applications in financial modelling cross different
financial markets and analyses GP potential utility in
these areas. The future research directions of GP in
financial markets have been highlighted.",
- }
Genetic Programming entries for
Zheng Yin
Anthony Brabazon
Conall O'Sullivan
Citations