Genetic Programming with User-Driven Selection: Experiments on the Evolution of Algorithms for Image Enhancement
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{poli:1997:user,
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author = "Riccardo Poli and Stefano Cagnoni",
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title = "Genetic Programming with User-Driven Selection:
Experiments on the Evolution of Algorithms for Image
Enhancement",
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booktitle = "Genetic Programming 1997: Proceedings of the Second
Annual Conference",
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editor = "John R. Koza and Kalyanmoy Deb and Marco Dorigo and
David B. Fogel and Max Garzon and Hitoshi Iba and
Rick L. Riolo",
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year = "1997",
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month = "13-16 " # jul,
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keywords = "genetic algorithms, genetic programming",
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pages = "269--277",
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address = "Stanford University, CA, USA",
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publisher_address = "San Francisco, CA, USA",
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publisher = "Morgan Kaufmann",
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ISBN = "1-55860-483-9",
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URL = "https://cswww.essex.ac.uk/staff/rpoli/papers/Poli-GP1997-UM.pdf",
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URL = "http://citeseer.ist.psu.edu/334133.html",
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size = "9 pages",
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abstract = "In this paper we present an approach to the
interactive development of programs for image
enhancement with Genetic Programming (GP) based on
pseudocolour transformations. In our approach the user
drives GP by deciding which individual should be the
winner in tournament selection. The presence of the
user does not only allow running GP without a fitness
function but it also transforms GP into a very
efficient search procedure capable of producing
effective solutions to real-life problems in only
hundreds of evaluations. In the paper we also propose a
strategy to further reduce user interaction: we record
the choices made by the user in interactive runs and we
later use them to build a model which can replace
him/her in longer runs. Experimental results with
interactive GP and with our user-modelling strategy are
also reported.",
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notes = "GP-97 part of \cite{koza:gp97}. see also
\cite{poli:1997:userTR}",
- }
Genetic Programming entries for
Riccardo Poli
Stefano Cagnoni
Citations