Evolving Compact Solutions in Genetic Programming: A Case Study
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{blickle96,
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author = "Tobias Blickle",
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title = "Evolving Compact Solutions in Genetic Programming: A
Case Study",
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editor = "Hans-Michael Voigt and Werner Ebeling and
Ingo Rechenberg and Hans-Paul Schwefel",
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booktitle = "Parallel Problem Solving From Nature IV. Proceedings
of the International Conference on Evolutionary
Computation",
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year = "1996",
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publisher = "Springer-Verlag",
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volume = "1141",
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series = "LNCS",
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pages = "564--573",
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address = "Berlin, Germany",
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publisher_address = "Heidelberg, Germany",
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month = "22-26 " # sep,
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keywords = "genetic algorithms, genetic programming, bloat,
deleting crossover",
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ISBN = "3-540-61723-X",
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URL = "http://www.handshake.de/user/blickle/publications/ppsn1.ps",
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URL = "http://citeseer.ist.psu.edu/blickle96evolving.html",
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DOI = "doi:10.1007/3-540-61723-X_1020",
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size = "10 pages",
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abstract = "Genetic programming (GP) is a variant of genetic
algorithms where the data structures handled are trees.
This makes GP especially useful for evolving functional
relationships or computer programs, as both can be
represented as trees. Symbolic regression is the
determination of a function dependence y=g ( x ) that
approximates a set of data points ( x i , y i ). In
this paper the feasibility of symbolic regression with
GP is demonstrated on two examples taken from different
domains. Furthermore several suggested methods from
literature are compared that are intended to improve GP
performance and the readability of solutions by taking
into account introns or redundancy that occurs in the
trees and keeping the size of the trees small. The
experiments show that GP is an elegant and useful tool
to derive complex functional dependencies on numerical
data.",
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notes = "http://lautaro.fb10.tu-berlin.de/ppsniv.html
PPSN4
same as \cite{blickle:1996:ecs} Test of effectiveness
of GP, EDI, deleting and adaptive anti-bloat
techniques. Results differ continuous (symbolic
regression) v. discrete 6-mux deleting crossover
similar to code editing based on code interpretation
during fitness evaluation.",
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affiliation = "Swiss Federal Institute of Technology (ETH) Computer
Engineering and Communication Networks Lab (TIK)
Gloriastrasse 35 8092 Zurich Switzerland Gloriastrasse
35 8092 Zurich Switzerland",
- }
Genetic Programming entries for
Tobias Blickle
Citations