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Adaptive Test Selection for Factorization-based Surrogate Fitness in Genetic Programming Cover

Adaptive Test Selection for Factorization-based Surrogate Fitness in Genetic Programming

Foundations of Computing and Decision Sciences
Volume 42 (2017): Issue 4 (December 2017)
By: Krzysztof Krawiec and  Paweł Liskowski  
Open Access
|Dec 2017
Authors

Authors

Krzysztof Krawiec

kkrawiec@cs.put.poznan.pl

Institute of Computing Science,, Poznan, Poland

Paweł Liskowski

pliskowski@cs.put.poznan.pl

Institute of Computing Science,, Poznan, Poland
DOI: https://doi.org/10.1515/fcds-2017-0017 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 339 - 358
Submitted on: Apr 12, 2017
Accepted on: Aug 23, 2017
Published on: Dec 9, 2017
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
genetic programming,
matrix factorization,
surrogate fitness,
testbased problems,
recommender systems
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2017 Krzysztof Krawiec, Paweł Liskowski, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 42 (2017): Issue 4 (December 2017)
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