A novel chaotic salp swarm algorithm for global optimization and feature selection
By Gehad Ismail Sayed, Ghada Khoriba, Mohamed Hassan Haggag. Applied intelligence (Boston), 2018
366 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/3e5e2ea4f5944175c11f78ec7e9cbaec4104d3bf
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
- Mohammad Shehab
- Mohammad Alshinwan
- Hamzeh Alabool
- Talari Ganesh
- Hattan F. Abutarboush
- Ali Wagdy Mohamed
- Prachi Agrawal
- Laith Mohammad Abualigah
In Biomedical Engineering
- Mohammad Alshinwan
- Talari Ganesh
- Hattan F. Abutarboush
- Ali Wagdy Mohamed
- Hamzeh Alabool
- Prachi Agrawal
- Mohammad Shehab
- Laith Mohammad Abualigah
Citations in the corpus
- Salp swarm algorithm: a comprehensive survey (2019, background): “A novel hybrid SSA and chaos system are proposed in [58].”
- Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019) (2021, background): “Sayed et al. [213] proposed chaotic SSA with ten chaotic maps and transfer function.”