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Cramer, J.A., Kramer, K.E., Johnson, K.J., et al. (2008) Automated Wavelength Selection for Spectroscopic Fuel Models by Symmetrically Contracting Repeated Unmoving Window Partial Least Squares. Chemometrics and Intelligent Laboratory Systems, 92, 13-21.
https://doi.org/10.1016/j.chemolab.2007.11.007

has been cited by the following article:

• TITLE: A Novel Cuckoo Search Algorithm and Its Application

  AUTHORS: Ping Liu, Shengjiang Zhang

  KEYWORDS: Cuckoo Search Algorithm, Feature Selection, Infrared Spectrum, Global Convergence

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.11 No.9, September 30, 2021

  ABSTRACT: In this paper, the principle of Cuckoo algorithm is introduced, and the traditional Cuckoo algorithm is improved to establish a mathematical model of multi-objective optimization scheduling. Based on the improved algorithm, the model is optimized to a certain extent. Through analysis, it is proved that the improved algorithm has higher computational accuracy and can effectively improve the global convergence.