Gene Expression Programming: A Survey [Review Article]
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- @Article{journals/cim/ZhongFO17,
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title = "Gene Expression Programming: A Survey [Review
Article]",
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author = "Jinghui Zhong and Liang Feng and Yew-Soon Ong",
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journal = "IEEE Computational intelligence magazine",
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year = "2017",
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number = "3",
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volume = "12",
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pages = "54--72",
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month = aug,
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keywords = "genetic algorithms, genetic programming, gene
expression programming",
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bibdate = "2017-07-24",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/cim/cim12.html#ZhongFO17",
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DOI = "doi:10.1109/MCI.2017.2708618",
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abstract = "Gene Expression Programming (GEP) is a popular and
established evolutionary algorithm for automatic
generation of computer programs. In recent decades, GEP
has undergone rapid advancements and developments. A
number of enhanced GEPs have been proposed to date and
the real world applications that use them are also
multiplying fast. In view of the steadfast growth of
GEP and its importance to both the academia and
industry, here a review on GEP is considered. In
particular, this paper presents a comprehensive review
on the recent progress of GEP. The state-of-the-art
approaches of GEP, with enhanced designs from six
aspects, i.e., encoding design, evolutionary mechanism
design, adaptation design, cooperative coevolutionary
design, constant creation design, and parallel design,
are presented. The theoretical studies and intriguing
representative applications of GEP are given. Finally,
a discussion of potential future research directions of
GEP is also provided",
- }
Genetic Programming entries for
Jinghui Zhong
Liang Feng
Yew-Soon Ong
Citations