Genetic Programming for Classification and Feature Selection

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InCollection{nag:2019:ESIA,

• author = "Kaustuv Nag and Nikhil R. Pal",
• title = "Genetic Programming for Classification and Feature Selection",
• booktitle = "Evolutionary and Swarm Intelligence Algorithms",
• year = "2019",
• editor = "Jagdish Chand Bansal and Pramod Kumar Singh and Nikhil R. Pal",
• volume = "779",
• series = "Studies in Computational Intelligence",
• chapter = "7",
• pages = "119--141",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-319-91339-1",
• URL = "http://link.springer.com/chapter/10.1007/978-3-319-91341-4_7",
• DOI = "doi:10.1007/978-3-319-91341-4_7",
• abstract = "Our objective is to provide a comprehensive introduction to Genetic Programming (GP) primarily keeping in view the problem of classifier design along with feature selection. We begin with a brief account of how genetic programming has emerged as a major computational intelligence technique. Then, we analyse classification and feature selection problems in brief. We provide a naive model of GP-based binary classification strategy with illustrative examples. We then discuss a few existing methodologies in brief and three somewhat related but different strategies with reasonable details. Before concluding, we make a few important remarks related to GP when it is used for classification and feature selection. In this context, we show some experimental results with a recent GP-based approach.",
• notes = "Department of IEE, Jadavpur University, Kolkata, India",

}

Genetic Programming entries for Kaustuv Nag Nikhil Ranjan Pal

Citations