A Probabilistic Linear Genetic Programming with Stochastic Context-free Grammar for Solving Symbolic Regression Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Sotto:2017:GECCO,

• author = "Leo Francoso Dal Piccol Sotto and Vinicius Veloso {de Melo}",
• title = "A Probabilistic Linear Genetic Programming with Stochastic Context-free Grammar for Solving Symbolic Regression Problems",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4920-8",
• address = "Berlin, Germany",
• pages = "1017--1024",
• size = "8 pages",
• URL = "http://doi.acm.org/10.1145/3071178.3071325",
• DOI = "doi:10.1145/3071178.3071325",
• acmid = "3071325",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, estimation of distribution algorithms, linear genetic programming, symbolic regression",
• month = "15-19 " # jul,
• abstract = "Traditional Linear Genetic Programming algorithms are based only on the selection mechanism to guide the search. Genetic operators combine or mutate random portions of the individuals, without knowing if the result will lead to a fitter individual. Probabilistic Model Building Genetic Programming was proposed to overcome this issue through a probability model that captures the structure of the fit individuals and use it to sample new individuals. This work proposes the use of LGP with a Stochastic Context-Free Grammar, that has a probability distribution that is updated according to selected individuals. We proposed a method for adapting the grammar into the linear representation of LGP. Tests performed with the proposed probabilistic method, and with two hybrid approaches, on several symbolic regression benchmark problems show that the results are statistically better than the obtained by the traditional LGP.",
• notes = "Also known as \cite{Sotto:2017:PLG:3071178.3071325} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for Leo Francoso Dal Piccol Sotto Vinicius Veloso de Melo

Citations