Self-adaptation of Genetic Operators Through Genetic Programming Techniques

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

@InProceedings{Cruz-Salinas:2017:GECCO,

• author = "Andres Felipe Cruz-Salinas and Jonatan Gomez Perdomo",
• title = "Self-adaptation of Genetic Operators Through Genetic Programming Techniques",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4920-8",
• address = "Berlin, Germany",
• pages = "913--920",
• size = "8 pages",
• URL = "http://doi.acm.org/10.1145/3071178.3071214",
• DOI = "doi:10.1145/3071178.3071214",
• acmid = "3071214",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, evolutionary algorithms, real optimization, self-adaptation, self-adapted operators",
• month = "15-19 " # jul,
• abstract = "Here we propose an evolutionary algorithm that self modifies its operators at the same time that candidate solutions are evolved. This tackles convergence and lack of diversity issues, leading to better solutions. Operators are represented as trees and are evolved using genetic programming (GP) techniques. The proposed approach is tested with real benchmark functions and an analysis of operator evolution is provided.",
• notes = "Also known as \cite{Cruz-Salinas:2017:SGO:3071178.3071214} 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 Andres Felipe Cruz-Salinas Jonatan Gomez Perdomo

Citations