Multi-Objective Evolutionary Design of Composite Data-Driven Models

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@Misc{DBLP:journals/corr/abs-2103-01301,

• author = "Iana S. Polonskaia and Nikolay O. Nikitin and Ilia Revin and Pavel Vychuzhanin and Anna V. Kalyuzhnaya",
• title = "Multi-Objective Evolutionary Design of Composite Data-Driven Models",
• howpublished = "arXiv",
• year = "2021",
• month = "17 " # may,
• keywords = "genetic algorithms, genetic programming, AutoML, evolutionary algorithms, multi-objective optimization, model design, composite models",
• eprint = "2103.01301",
• timestamp = "Sun, 14 Mar 2021 12:07:47 +0100",
• biburl = "https://dblp.org/rec/journals/corr/abs-2103-01301.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "http://www.human-competitive.org/sites/default/files/nikitin_human_competitive.txt",
• URL = "http://www.human-competitive.org/sites/default/files/cec_2021_0.pdf",
• URL = "https://arxiv.org/abs/2103.01301",
• size = "9 pages",
• abstract = "a multi-objective approach for the design of composite data-driven mathematical models is proposed. It allows automating the identification of graph-based heterogeneous pipelines that consist of different blocks: machine learning models, data preprocessing blocks, etc. The implemented approach is based on a parameter-free genetic algorithm (GA) for model design called GPComp@Free. It is developed to be part of automated machine learning solutions and to increase the efficiency of the modeling pipeline automation. A set of experiments was conducted to verify the correctness and efficiency of the proposed approach and substantiate the selected solutions. The experimental results confirm that a multi-objective approach to the model design allows achieving better diversity and quality of obtained models. The implemented approach is available as a part of the open-source AutoML framework FEDOT.",
• notes = "Entered 2021 HUMIES",

}

Genetic Programming entries for Iana S Polonskaia Nikolay O Nikitin Ilia Revin Pavel Vychuzhanin Anna V Kalyuzhnaya

Citations