Sharing and Refinement for Reusable Subroutines of Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{hondo:1996:srrs,
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author = "Naohiro Hondo and Hitoshi Iba and Yukinori Kakazu",
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title = "Sharing and Refinement for Reusable Subroutines of
Genetic Programming",
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booktitle = "Proceedings of the 1996 {IEEE} International
Conference on Evolutionary Computation",
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year = "1996",
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volume = "1",
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pages = "565--570",
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address = "Nagoya, Japan",
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month = "20-22 " # may,
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organisation = "IEEE Neural Network Council",
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keywords = "genetic algorithms, genetic programming,
COAST,efficiency, reusable subroutines, subroutine
library, subroutine refinement, subroutine sharing,
wall-following problem, software libraries, software
performance evaluation, software reusability,
subroutines",
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ISBN = "0-7803-2902-3",
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DOI = "doi:10.1109/ICEC.1996.542661",
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size = "6 pages",
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abstract = "Presents a new approach to genetic programming (GP).
The aim of this study is to indicate an approach to
make GP fit for practical use. The objective of our
study originates in the fact that human-created
programs tend to be divided into subroutines that are
reused frequently. In traditional GP, the program is
structured as a single sequence. Moreover, there is no
room to reuse the subroutines in traditional GP. There
have been a few techniques proposed for dividing such
programs into subroutines, which attempt to discover
certain subroutines. However, the reusability of
genetic programs has not yet been discussed. In this
paper, we propose an approach for reusability. The
proposed method has a library for keeping the
subroutines in order to share and reuse them. We make
use of the wall-following problem to indicate the
efficiency of the method experimentally",
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notes = "ICEC-96",
- }
Genetic Programming entries for
Naohiro Hondo
Hitoshi Iba
Yukinori Kakazu
Citations