DocumentCode
3597344
Title
A Review on Evolutionary Feature Selection
Author
Abd-Alsabour, Nadia
Author_Institution
Cairo Univ., Cairo, Egypt
fYear
2014
Firstpage
20
Lastpage
26
Abstract
This paper presents a review of some of the most recent evolutionary algorithms used for solving feature selection based upon previously published research on feature selection. In addition, we discuss various research issues relating to each of the presented evolutionary algorithm. Evolutionary algorithms present several advantages over traditional search such as they require less domain-specific information. Such advantages have made them very popular within feature selection as explained in this paper. This paper covers the first part only of the evolutionary algorithms for the feature selection problem due to the limitation of the number of pages. The references cited in this paper cover the major theoretical issues, and provide access to the main branches of the literature dealing with such methods.
Keywords
ant colony optimisation; computational complexity; feature selection; genetic algorithms; particle swarm optimisation; search problems; NP hard optimization problem; ant colony optimization; evolutionary algorithms; evolutionary feature selection; genetic algorithms; page number limitation; particle swarm optimization; Classification algorithms; Evolutionary computation; Feature extraction; Genetic algorithms; Optimization; Sociology; Statistics; Ant Colony Optimization (ACO); Feature Selection (FS); Genetic Algorithms (GAs); Particle Swarm Optimization (PSO);
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling Symposium (EMS), 2014 European
Print_ISBN
978-1-4799-7411-5
Type
conf
DOI
10.1109/EMS.2014.28
Filename
7153969
Link To Document