A new mutation operation for faster convergence in genetic algorithm feature selection

• Main Authors: Rubiyah, Yusof, Uswah, Khairuddin, M., Khalid
• Format: Article
• Published: ICIC International 2012
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/32760/; http://www.ijicic.org/ijicic-imip0207.pdf
• Institution: Universiti Teknologi Malaysia

Feature selection is an important step in data classification because it has a high impact on classification accuracy. Feature selection using Genetic Algorithm (GA) is usually done in a wrapper method. The process is time consuming especially for large dimensional database. We propose a new mutatio...