Opposition-based moth-flame optimization improved by differential evolution for feature selection

Title
Opposition-based moth-flame optimization improved by differential evolution for feature selection
Authors
Keywords
Feature selection (FS), Metaheuristics (MH), Moth-flame optimization (MFO), Differential evolution (DE), Opposition-based learning (OBL)
Journal
Publisher
Elsevier BV
Online
2019-08-02
DOI
10.1016/j.matcom.2019.06.017

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started