Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results

Created by W.Langdon from gp-bibliography.bib Revision:1.8178

@InProceedings{hoai:2002:stsrpwtgggptcr,

• author = "N. X. Hoai and R. I. McKay and D. Essam and R. Chau",
• title = "Solving the Symbolic Regression Problem with Tree-Adjunct Grammar Guided Genetic Programming: The Comparative Results",
• booktitle = "Proceedings of the 2002 Congress on Evolutionary Computation CEC2002",
• editor = "David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton",
• pages = "1326--1331",
• year = "2002",
• publisher = "IEEE Press",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• organisation = "IEEE Neural Network Council (NNC), Institution of Electrical Engineers (IEE), Evolutionary Programming Society (EPS)",
• ISBN = "0-7803-7278-6",
• month = "12-17 " # may,
• notes = "CEC 2002 - A joint meeting of the IEEE, the Evolutionary Programming Society, and the IEE. Held in connection with the World Congress on Computational Intelligence (WCCI 2002)",
• keywords = "genetic algorithms, genetic programming, TAG3P, performance, structural complexity scaling, success probability, symbolic regression problem, target functions, tree-adjunct grammar-guided genetic programming, context-free grammars, functions, problem solving, programming, software performance evaluation, statistical analysis, symbol manipulation, trees (mathematics)",
• DOI = "doi:10.1109/CEC.2002.1004435",
• abstract = "In this paper, we show some experimental results of tree-adjunct grammar-guided genetic programming (TAG3P) on the symbolic regression problem, a benchmark problem in genetic programming. We compare the results with genetic programming (GP) and grammar-guided genetic programming (GGGP). The results show that TAG3P significantly outperforms GP and GGGP on the target functions attempted in terms of the probability of success. Moreover, TAG3P still performed well when the structural complexity of the target function was scaled up",

}

Genetic Programming entries for Nguyen Xuan Hoai R I (Bob) McKay Daryl Essam R Chau

Citations