Improving Gene Expression Programming Using Parallel Taboo Search
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @InProceedings{conf/icnc/RaoWY09,
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author = "Yuan Rao and Ru-chuan Wang and Chang-an Yuan",
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title = "Improving Gene Expression Programming Using Parallel
Taboo Search",
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booktitle = "Fifth International Conference on Natural Computation,
2009. ICNC '09",
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year = "2009",
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editor = "Haiying Wang and Kay Soon Low and Kexin Wei and
Junqing Sun",
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month = "14-16 " # aug,
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pages = "144--148",
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address = "Tianjian, China",
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publisher = "IEEE Computer Society",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Tabu Search",
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isbn13 = "978-0-7695-3736-8",
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bibdate = "2010-01-21",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/icnc/icnc2009-3.html#RaoWY09",
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DOI = "doi:10.1109/ICNC.2009.124",
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abstract = "By the strategy of exerting advantage and avoiding
disadvantage respectively, hybrid GEP (gene expression
programming) algorithm includes many advantages, which
can effectively improve the efficiency of GEP and offer
more effective solution to the difficult problems of
technology and engineering fields. This paper proposes
GEP-PTS algorithm, which combines simple GEP and PTS.
In GEP-PTS, we propose parallel taboo search (PTS)
based on simple taboo search to conduct local search.
Extensive experiments show that the accuracy of
function model found by GEP-PTS is improved
4.19percent-7.93percent compared with simple GEP.",
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notes = "Also known as \cite{5365612}",
- }
Genetic Programming entries for
Yuan Rao
Ru-chuan Wang
Chang-an Yuan
Citations