Feature selection for classification of microarray gene expression cancers using Bacterial Colony Optimization with multi-dimensional population-Reference-Cited by-同舟云学术

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Feature selection for classification of microarray gene expression cancers using Bacterial Colony Optimization with multi-dimensional population

Published:2019-08 Issue: Volume:48 Page:172-181
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Wang Hong,Tan Lijing,Niu Ben

Funder

National Science Foundation of China

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangdong Province Higher Vocational Colleges & Schools Pearl River Scholar

Research Foundation of Shenzhen University

Innovation and Entrepreneurship Research Center of Guandong University Student

Research Cultivation Project from Shenzhen Institute of Information Technology

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference48 articles.

1. Particle swarm optimisation for feature selection in classification: novel initialisation and updating mechanisms;Xue;Appl. Soft Comput.,2014

2. Particle swarm optimization for feature selection in classification: a multi-objective approach;Xue;IEEE Trans. Cybern.,2013

3. Feature subset selection using differential evolution and a statistical repair mechanism;Khushaba;Expert Syst. Appl.,2011

4. A discrete bacterial algorithm for feature selection in classification of microarray gene expression cancer data;Wang;Knowl. Base Syst.,2017

5. Genetic algorithms in feature and instance selection;Tsai;Knowl. Base Syst.,2013

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