Title
An ensemble of intelligent water drop algorithm for feature selection optimization problem.
Abstract
•FS-MRMC-IWD is introduced as an ensemble of the IWD for feature selection.•The potential of the MRMC-IWD using real-world optimization is assessed.•The FS-MRMC-IWD is evaluated using benchmark optimization tasks.•The FS-MRMC-IWD is evaluated using two real-world problems•Comparative studies are conducted to the classification accuracy and feature reduction.
Year
DOI
Venue
2018
10.1016/j.asoc.2018.02.003
Applied Soft Computing
Keywords
Field
DocType
Intelligent water drops,Optimization,Swarm intelligence,Feature selection,Motion detection,Motor fault detection
Data set,Feature selection,Ensemble forecasting,Fault detection and isolation,Support vector machine,Algorithm,Human motion,Artificial intelligence,Drop (liquid),Optimization problem,Mathematics,Machine learning
Journal
Volume
ISSN
Citations 
65
1568-4946
1
PageRank 
References 
Authors
0.38
34
5
Name
Order
Citations
PageRank
Basem O. Alijla1212.43
Chee Peng Lim21459122.04
Li-Pei Wong31098.32
Ahamad Tajudin Khader468340.71
Mohammed Azmi Al-Betar562043.69