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A Novel Binary QUasi-Affine TRansformation Evolution (QUATRE) Algorithm and Its Application for Feature Selection

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Advances in Intelligent Systems and Computing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 268))

Abstract

QUasi-Affine TRansformation Evolution (QUATRE) algorithm is a new intelligent computing algorithm based on matrix iteration behavior. Binary QUATRE (BQUATRE) is a binary version that can be used to solve binary application problems. From continuous to binary arithmetic is a crucial part of the binary version. In order to convert the continuous type to the binary type, this paper proposes a simple and effective conversion method. After the benchmark function test, it proves that the improved binary QUATRE method has strong competitiveness. Finally, the feature selection problem can be successfully solved in the UCI data set, and a higher classification accuracy can be obtained with a smaller number of features.

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Author information

Authors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Fei-Fei Liu, Shu-Chuan Chu, Xiaopeng Wang & Jeng-Shyang Pan

  2. College of Science and Engineering, Flinders University, Sturt Rd, Bedford Park, Adelaide, SA, 5042, Australia

    Shu-Chuan Chu

Authors
  1. Fei-Fei Liu
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  2. Shu-Chuan Chu
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  3. Xiaopeng Wang
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  4. Jeng-Shyang Pan
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Corresponding author

Correspondence to Jeng-Shyang Pan .

Editor information

Editors and Affiliations

  1. Institute of Intelligent Media Technology, Communication, University of Zhejiang, Hangzhou City, China

    Jie-Fang Zhang

  2. College of Computer Science and Engineering, Shandong University of Science and Technology, Shandong, China

    Chien-Ming Chen

  3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China

    Shu-Chuan Chu

  4. Department of Radio Communications and Video Technologies, Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

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Cite this paper

Liu, FF., Chu, SC., Wang, X., Pan, JS. (2022). A Novel Binary QUasi-Affine TRansformation Evolution (QUATRE) Algorithm and Its Application for Feature Selection. In: Zhang, JF., Chen, CM., Chu, SC., Kountchev, R. (eds) Advances in Intelligent Systems and Computing. Smart Innovation, Systems and Technologies, vol 268. Springer, Singapore. https://doi.org/10.1007/978-981-16-8048-9_29

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