Semantic based crossovers in Tree-Adjoining Grammar Guided Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Phong:2013:RIVF,

• author = "Dao Ngoc Phong and Nguyen Quang Uy and Nguyen Xuan Hoai and Nguyen Thanh Thuy",
• title = "Semantic based crossovers in Tree-Adjoining Grammar Guided Genetic Programming",
• booktitle = "IEEE International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF 2013)",
• year = "2013",
• month = nov,
• pages = "141--146",
• 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",
• DOI = "doi:10.1109/RIVF.2013.6719883",
• 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.",
• notes = "Also known as \cite{6719883}",

}

Genetic Programming entries for Ngoc Phong Dao Quang Uy Nguyen Nguyen Xuan Hoai Nguyen Thanh Thuy

Citations