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Enhancing Island Model Genetic Programming by Controlling Frequent Trees Cover

Enhancing Island Model Genetic Programming by Controlling Frequent Trees

Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 1 (January 2019)
By: Keiko Ono,  Yoshiko Hanada,  Masahito Kumano and  Masahiro Kimura  
Open Access
|Aug 2018

Authors

Keiko Ono

kono@rins.ryukoku.ac.jp

Department of Computer Engineering, Ryukoku University, Shiga, Japan
Department of Electronics and Informatics, Ryukoku University, Shiga, Japan

Yoshiko Hanada

hanada@kansai-u.ac.jp

Faculty of Engineering Science, Kansai University, Japan

Masahito Kumano

kumano@rins.ryukoku.ac.jp

Department of Electronics and Informatics, Ryukoku University, Shiga, Japan

Masahiro Kimura

kimura@rins.ryukoku.ac.jp

Department of Electronics and Informatics, Ryukoku University, Shiga, Japan
DOI: https://doi.org/10.2478/jaiscr-2018-0024
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Language: English
Page range: 51 - 65
Submitted on: Dec 27, 2017
Accepted on: Jan 11, 2018
Published on: Aug 20, 2018
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
genetic programming,
island model,
frequent tree-based migration strategy
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2018 Keiko Ono, Yoshiko Hanada, Masahito Kumano, Masahiro Kimura, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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