Self-adaptation of Genetic Operators Through Genetic Programming Techniques
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gp-bibliography.bib Revision:1.8098
- @InProceedings{Cruz-Salinas:2017:GECCO,
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author = "Andres Felipe Cruz-Salinas and Jonatan Gomez Perdomo",
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title = "Self-adaptation of Genetic Operators Through Genetic
Programming Techniques",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference",
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series = "GECCO '17",
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year = "2017",
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isbn13 = "978-1-4503-4920-8",
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address = "Berlin, Germany",
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pages = "913--920",
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size = "8 pages",
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URL = "http://doi.acm.org/10.1145/3071178.3071214",
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DOI = "doi:10.1145/3071178.3071214",
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acmid = "3071214",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, evolutionary
algorithms, real optimization, self-adaptation,
self-adapted operators",
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month = "15-19 " # jul,
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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.",
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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