A Binary classifier based on Firefly Algorithm
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Authors
Al-Abdallah, Raed Z.
Ameera S. Jaradat
Abu Doush, Iyad
Jaradatm, Yazan
Issue Date
Dec 2017
Type
Journal Article
Peer-Reviewed
Peer-Reviewed
Language
Keywords
Alternative Title
Abstract
This work implements the Firefly algorithm (FA) to find the best decision hyper-plane in the feature space. The
proposed classifier uses a cross-validation of a 10-fold portioning for the training and the testing phases used
for classification. Five pattern recognition binary benchmark problems with different feature vector dimensions
are used to demonstrate the effectiveness of the proposed classifier. We compare the FA classifier results with
those of other approaches through two experiments. The experimental results indicated that FA classifier is a
competitive classification technique. The FA shows better results in three out of the four tested datasets used in
the second experiment
Description
Citation
Publisher
Jordanian Journal of Computers and Information Technology
License
Journal
Volume
Vol. 3, No. 3,