Title | ||
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An ensemble of intelligent water drop algorithm for feature selection optimization problem. |
Abstract | ||
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•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 |
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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. Alijla | 1 | 21 | 2.43 |
Chee Peng Lim | 2 | 1459 | 122.04 |
Li-Pei Wong | 3 | 109 | 8.32 |
Ahamad Tajudin Khader | 4 | 683 | 40.71 |
Mohammed Azmi Al-Betar | 5 | 620 | 43.69 |