A multi-objective feature selection method based on bacterial foraging optimization-Reference-Cited by-同舟云学术

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A multi-objective feature selection method based on bacterial foraging optimization

Published:2019-07-27 Issue:1 Volume:20 Page:63-76
ISSN:1567-7818
Container-title:Natural Computing
language:en
Short-container-title:Nat Comput

Author:

Niu Ben,Yi Wenjie,Tan Lijing,Geng Shuang^ORCID,Wang Hong

Funder

National Natural Science Foundation of China

Guangdong Province Higher Vocational Colleges & Schools Pearl River Scholar Funded Scheme

Natural Science Foundation of Guangdong Province

Innovation and Entrepreneurship Research Center of Guandong University Student

Research Cultivation Project from Shenzhen Institute of Information Technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11047-019-09754-6.pdf

Reference43 articles.

1. Bennasar M, Hicks Y, Setchi R (2015) Feature selection using joint mutual information maximisation. Expert Syst Appl 42(22):8520–8532

2. Caruana R, Freitag D (1994) Greedy attribute selection. In: Machine learning proceedings, pp 28–36

3. Chen ZJ, Wu CZ, Zhang YS, Huang Z, Ran B, Zhong M et al (2015) Feature selection with redundancy-complementariness dispersion. Knowl Based Syst 89:203–217

4. Chen YP, Li Y, Wang G et al (2017) A novel bacterial foraging optimization algorithm for feature selection. Expert Syst Appl 83:1–17

5. Chiang LH, Pell RJ (2004) Genetic algorithms combined with discriminant analysis for key variable identification. J Process Control 14(2):143–155

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