Semantic based crossovers in Tree-Adjoining Grammar Guided Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Phong:2013:RIVF,
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author = "Dao Ngoc Phong and Nguyen Quang Uy and
Nguyen Xuan Hoai and Nguyen Thanh Thuy",
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title = "Semantic based crossovers in Tree-Adjoining Grammar
Guided Genetic Programming",
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booktitle = "IEEE International Conference on Computing and
Communication Technologies, Research, Innovation, and
Vision for the Future (RIVF 2013)",
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year = "2013",
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month = nov,
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pages = "141--146",
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keywords = "genetic algorithms, genetic programming, grammars,
learning (artificial intelligence), regression
analysis, trees (mathematics), SSC, TAG-based
representation, TAG3P, benchmark symbolic regression
problems, machine learning method, nonfixed arity
property, semantic based crossover operators, semantic
similarity based crossover, tree-adjoining grammar
guided genetic programming, Educational institutions,
Grammar, Semantics, Semantic based crossovers,
Tree-Adjoining Grammar Guided Genetic Programming",
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DOI = "doi:10.1109/RIVF.2013.6719883",
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abstract = "In this paper we propose an approach to implementing
new semantic based crossover operators in
Tree-Adjoining Grammar Guided Genetic Programming
(TAG3P). The design of the new crossover operators is
based on the non-fixed arity (also called feasibility)
property of TAG-based representation in TAG3P. The new
operators are then tested on a family of benchmark
symbolic regression problems and compared with standard
Genetic programming (GP), GP with Semantic Similarity
based Crossover (SSC), and TAG3P. The results show that
TAG3P with the new operators significantly outperforms
GP, GP with SSC, and TAG3P.",
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notes = "Also known as \cite{6719883}",
- }
Genetic Programming entries for
Ngoc Phong Dao
Quang Uy Nguyen
Nguyen Xuan Hoai
Nguyen Thanh Thuy
Citations