Multi-objective evolution of machine learning workflows

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Kren:2017:ieeeSSCI,

• author = "Tomas Kren and Martin Pilat and Roman Neruda",
• booktitle = "2017 IEEE Symposium Series on Computational Intelligence (SSCI)",
• title = "Multi-objective evolution of machine learning workflows",
• year = "2017",
• abstract = "In this paper we describe a multi-objective genetic programming algorithm which can be used to create complete machine learning work flows. The algorithm is an extension of a single-objective one. In a series of test on four datasets, we show that the additional objectives can be used to search for smaller or faster models. The algorithm is also in some cases much faster than the single-objective one while obtaining results of similar quality.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SSCI.2017.8285357",
• month = nov,
• notes = "Also known as \cite{8285357}",

}

Genetic Programming entries for Tomas Kren Martin Pilat Roman Neruda

Citations