Function Finding and the Creation of Numerical Constants in Gene Expression Programming
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- @InProceedings{ferreira:2002:WSC,
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author = "C\^andida Ferreira",
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title = "Function Finding and the Creation of Numerical
Constants in Gene Expression Programming",
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booktitle = "7th Online World Conference on Soft Computing in
Industrial Applications",
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year = "2002",
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month = sep # " 23 - " # oct # " 4",
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note = "on line",
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keywords = "genetic algorithms, genetic programming, gene
expression programming",
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URL = "http://www.gene-expression-programming.com/webpapers/Ferreira-WSC7.pdf",
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abstract = "Gene expression programming is a genotype/phenotype
system that evolves computer programs of different
sizes and shapes (the phenotype) encoded in linear
chromosomes of fixed length (the geno-type). The
chromosomes are composed of multiple genes, each gene
encoding a smaller sub-program. Furthermore, the
structural and functional organization of the linear
chromosomes allows the uncon-strained operation of
important genetic operators such as mutation,
transposition, and recombination. In this work, three
function finding problems, including a high dimensional
time series prediction task, are analyzed in an attempt
to discuss the question of constant creation in
evolutionary computation by comparing two different
approaches to the problem of constant creation. The
first algorithm involves a facility to manipulate
random numerical constants, whereas the second finds
the numerical constants on its own or invents new ways
of representing them. The results presented here show
that evolutionary algorithms perform considerably worse
if numerical constants are explicitly used.",
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notes = "WSC7 broken http://wsc7.ugr.es/",
- }
Genetic Programming entries for
Candida Ferreira
Citations