Gene expression programming based on simulated annealing
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Siwei:2005:pICWCNMC,
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author = "Jiang Siwei and Cai Zhihua and Zeng Dan and
Liu Yadong and Li Qu",
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title = "Gene expression programming based on simulated
annealing",
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booktitle = "Proceedings International Conference on Wireless
Communications, Networking and Mobile Computing",
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year = "2005",
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volume = "2",
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pages = "1264--1267",
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month = "23-26 " # sep,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Gene
Expression Programming, computer programs, genotype
system, linear chromosomes, phenotype system, simulated
annealing",
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DOI = "doi:10.1109/WCNM.2005.1544273",
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abstract = "Gene expression programming (GEP) is a
genotype/phenotype system that evolves computer
programs of different sizes and shapes encoded in
linear chromosomes of fixed length. However, the
performance of basic GEP is highly dependent on the
genetic operators' rate. In this work, we present a new
algorithm called GEPSA that combines GEP and simulated
annealing (SA), and GEPSA decreases the dependence on
genetic operators' rate without impairing the
performance of GEP. Three function finding problems,
including a benchmark problem of prediction sunspots,
are tested on GEPSA, results shows that importing
simulated annealing can improve the performance of
GEP.",
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notes = "Coll. of Comput., China Univ. of Geosciences, Wuhan,
China INSPEC Accession Number:8775628",
- }
Genetic Programming entries for
Jiang Siwei
Cai Zhihua
Zeng Dan
Liu Yadong
Qu Li
Citations