Social Grammatical Evolution with imitation learning for real-valued function estimation

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{le:2017:CEC,

• author = "Nam Le and Michael O'Neill and David Fagan and Anthony Brabazon",
• booktitle = "2017 IEEE Congress on Evolutionary Computation (CEC)",
• title = "Social Grammatical Evolution with imitation learning for real-valued function estimation",
• year = "2017",
• editor = "Jose A. Lozano",
• pages = "1572--1578",
• address = "Donostia, San Sebastian, Spain",
• publisher = "IEEE",
• month = "5-8 " # jun,
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, grammars, regression analysis, social sciences, imitation learning, real-valued function estimation, social grammatical evolution, social learning, symbolic regression, Algorithm design and analysis, Animals, Benchmark testing, Optimization, Sociology, Statistics",
• isbn13 = "978-1-5090-4601-0",
• DOI = "doi:10.1109/CEC.2017.7969490",
• size = "7 pages",
• abstract = "Drawing on a rich literature concerning social learning in animals, this paper presents a variation of Grammatical Evolution (GE) which incorporates one of the most powerful forms of social learning, namely imitation learning. This replaces the traditional method of communication between individuals in GE - crossover - which is drawn from an evolutionary metaphor. The paper provides an introduction to social learning, describes the proposed variant of GE, and tests on a series of benchmark symbolic regression problems. The results obtained are encouraging, being very competitive when compared with canonical GE. It is noted that the literature on social learning provides a number of useful meta-frameworks which can be used in the design of new search algorithms and to allow us to better understand the strengths and weaknesses of existing algorithms. Future work is indicated in this area.",
• notes = "IEEE Catalog Number: CFP17ICE-ART Also known as \cite{7969490}",

}

Genetic Programming entries for Nam Le Michael O'Neill David Fagan Anthony Brabazon

Citations