Genetic Programming as an Innovation Engine for Automated Machine Learning: The Tree-Based Pipeline Optimization Tool (TPOT)

Created by W.Langdon from gp-bibliography.bib Revision:1.7650

@InCollection{Moore:2023:hbeml,

• author = "Jason H. Moore and Pedro H. Ribeiro and Nicholas Matsumoto and Anil K. Saini",
• title = "Genetic Programming as an Innovation Engine for Automated Machine Learning: The Tree-Based Pipeline Optimization Tool (TPOT)",
• booktitle = "Handbook of Evolutionary Machine Learning",
• publisher = "Springer Nature",
• year = "2023",
• editor = "Wolfgang Banzhaf and Penousal Machado and Mengjie Zhang",
• series = "Genetic and Evolutionary Computation (GEVO)",
• pages = "439--455",
• address = "Singapore",
• edition = "1",
• month = "2 " # nov,
• keywords = "genetic algorithms, genetic programming, TPOT",
• isbn13 = "978-981-99-3813-1",
• ISSN = "1932-0167",
• URL = "https://link.springer.com/book/10.1007/978-981-99-3814-8",
• DOI = "doi:10.1007/978-981-99-3814-8_14",
• abstract = "One of the central challenges of machine learning is the selection of methods for feature selection selection, feature engineering, and classification or regression algorithms for building an analytics pipeline. This is true for both novices and experts. Automated machine learning (AutoML) has emerged as a useful approach to generate machine learning pipelines without the need for manual construction and evaluation. We review here some challenges of building pipelines and present several of the first and most widely used AutoML methods and open-source software. We present in detail the Tree-based Pipeline Optimization Tool (TPOT) that represents pipelines as expression trees and uses genetic programming (GP) for discovery and optimisation. We present some of the extensions of TPOT and its application to real-world big data. We end with some thoughts about the future of AutoML and evolutionary machine learning.",

}

Genetic Programming entries for Jason H Moore Pedro Henrique Ribeiro Nicholas Matsumoto Anil Kumar Saini

Citations