Whale optimization approaches for wrapper feature selection
By Majdi M. Mafarja, Seyedali Mirjalili. Applied Soft Computing, 2018
738 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/6fe91c36b3ebc9287b977422c5ce416aeb5f3aad
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ayça Deniz
- Talari Ganesh
- Tansel Dökeroğlu
- Hattan F. Abutarboush
- A. Hammad
- Essam H. Houssein
- Hakan Ezgi Kiziloz
- Ali Wagdy Mohamed
In Computational Theory and Mathematics
- Ayça Deniz
- Talari Ganesh
- Tansel Dökeroğlu
- Hattan F. Abutarboush
- A. Hammad
- Essam H. Houssein
- Hakan Ezgi Kiziloz
- Ali Wagdy Mohamed
Citations in the corpus
- Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022, methodology): “A search strategy and evaluation criterion can be used to categorize feature selection methods [114].”
- A comprehensive survey on recent metaheuristics for feature selection (2022, methodology): “Mirjalili et al. proposed the SSA in 2017 [48] .”
- Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019) (2021, background): “Mafarja and Mirjalili [203] proposed two binary variants of WOA by embedding crossover and mutation operator and by using tournament and roulette wheel selection in WOA.”