Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites

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

@InProceedings{Nickerson:2022:EuroGP,

• author = "Kyle Nickerson and Antonina Kolokolova and Ting Hu",
• title = "Creating Diverse Ensembles for Classification with Genetic Programming and {Neuro-MAP-Elites}",
• booktitle = "EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming",
• year = "2022",
• editor = "Eric Medvet and Gisele Pappa and Bing Xue",
• series = "LNCS",
• volume = "13223",
• publisher = "Springer Verlag",
• address = "Madrid, Spain",
• pages = "212--227",
• month = "20-22 " # apr,
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Linear genetic programming, Diversity, Ensemble classifiers: Poster",
• isbn13 = "978-3-031-02055-1",
• DOI = "doi:10.1007/978-3-031-02056-8_14",
• abstract = "Model diversity is essential for ensemble classifiers, which make predictions by combining predictions from multiple simpler models. While ensemble classifiers often outperform single-model classifiers, their success crucially depends on the ensemble construction. Genetic programming (GP) is a powerful evolutionary algorithm that can evolve populations of simple classifiers; however, standard GP algorithms produce populations of models with correlated predictions. Recent work in the broader evolutionary computing community has begun focusing on methods for evolving diverse populations, such as MAP-Elites [24], which can evolve populations that are diverse in a low dimensional behavior space. In this work, we demonstrate a novel technique for using MAP-Elites to create diverse GP populations, which can be used as ensemble classifiers. We demonstrate the utility of our framework, which we call Neuro-MAP-Elites, by comparing it with other classification algorithms across a diverse set of classification datasets.",
• notes = "http://www.evostar.org/2022/eurogp/ Part of \cite{Medvet:2022:GP} EuroGP'2022 held inconjunction with EvoApplications2022 EvoCOP2022 EvoMusArt2022",

}

Genetic Programming entries for Kyle L Nickerson Antonina Kolokolova Ting Hu

Citations