Model approach to grammatical evolution: theory and case study
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- @Article{He:2015:SC,
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author = "Pei He and Zelin Deng and Houfeng Wang and
Zhusong Liu",
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title = "Model approach to grammatical evolution: theory and
case study",
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journal = "Soft Computing",
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year = "2016",
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volume = "20",
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number = "9",
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pages = "3537--3548",
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month = sep,
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keywords = "genetic algorithms, genetic programming, Grammatical
evolution, Finite state automaton, Model",
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ISSN = "1432-7643",
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publisher = "Springer",
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DOI = "doi:10.1007/s00500-015-1710-9",
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abstract = "Many deficiencies with grammatical evolution (GE) such
as inconvenience in solution derivations, modularity
analysis, and semantic computing can partly be
explained from the angle of genotypic representations.
In this paper, we deepen some of our previous work in
visualising concept relationships, individual
structures and total evolutionary process, contributing
new ideas, perspectives, and methods in these aspects;
reveal the principle hidden in early work so that to
develop a practical methodology; provide formal proofs
for issues of concern which will be helpful for
understanding of mathematical essence of issues,
establishing of an unified formal framework as well as
practical implementation; exploit genotypic modularity
like modular discovery systematically which for the
lack of supporting mechanism, if not impossible, is
done poorly in many existing systems, and finally
demonstrate the possible gains through semantic
analysis and modular reuse. As shown in this work, the
search space and the number of nodes in the parser tree
are reduced using concepts from building blocks, and
concepts such as the codon-to-grammar mapping and the
integer modulo arithmetic used in most existing GE can
be abnegated",
- }
Genetic Programming entries for
Pei He
Zelin Deng
HouFeng Wang
Zhusong Liu
Citations