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Feature selection based on meta-heuristics for biomedicine

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Publication:2926050
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DOI10.1080/10556788.2013.834900zbMath1305.90421OpenAlexW2080362750MaRDI QIDQ2926050

Ruixin Yang, Ling Wang, Vijay Pappu, Haoqi Ni, Michael B. Fenn, Panos M. Pardalos

Publication date: 29 October 2014

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556788.2013.834900


zbMATH Keywords

meta-heuristicfeature selectionbiomedicine


Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59)


Related Items (2)

Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis ⋮ A diverse human learning optimization algorithm



Cites Work

  • Application of global optimization methods to model and feature selection
  • A multilevel tabu search algorithm for the feature selection problem in biomedical data
  • Improved binary PSO for feature selection using gene expression data
  • Wrappers for feature subset selection
  • Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
  • 10.1162/153244303322753616


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