Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InCollection{zhang:1996:aigp2,
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author = "Byoung-Tak Zhang and Heinz M{\"u}hlenbein",
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title = "Adaptive Fitness Functions for Dynamic Growing/Pruning
of Program Trees",
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booktitle = "Advances in Genetic Programming 2",
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publisher = "MIT Press",
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year = "1996",
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editor = "Peter J. Angeline and K. E. {Kinnear, Jr.}",
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pages = "241--256",
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chapter = "12",
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address = "Cambridge, MA, USA",
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keywords = "genetic algorithms, genetic programming, Occam's
Razor, minimum description length (MDL), neural trees,
adaptive fitness functions",
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ISBN = "0-262-01158-1",
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URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277536",
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DOI = "doi:10.7551/mitpress/1109.003.0017",
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size = "16 pages",
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abstract = "An adaptive method for fitness evaluation is described
that dynamically guides genetic programming to grow and
prune program trees. The method is based on the minimum
description length principle and evolves parsimonious
solutions while preventing premature convergence. The
effectiveness of the adaptive fitness functions is
shown by evolving neural programs for modelling
technical and environmental systems.",
- }
Genetic Programming entries for
Byoung-Tak Zhang
Heinz Muhlenbein
Citations