A hybrid approach of differential evolution and artificial bee colony for feature selection
By Ezgi Zorarpacı, Selma Ayse Özel. Expert systems with applications, 2016
357 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/73a6c31067301355c0c12fa057f88c2217858b4f
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In Artificial Intelligence
- Ali Asghar Heidari
- Ibrahim Aljarah
- Hossam Faris
- Majdi M. Mafarja
- Seyedali Mirjalili
- Ala’ M. Al-Zoubi
- Hamido Fujita
- Said Jadid Abdul Kadir
Citations in the corpus
- An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems (2018, methodology): “Two SI based algorithms (namely differential evolution (DE) and ABC) combined in a hybrid FS method in [38].”
- Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection (2019, methodology): “Metaheuristics have been largely employed to solve feature selection problems including: GWO [11], [12], Genetic Algorithm (GA) [13], Ant Colony Optimization (ACO) [14], PSO [15], Differential Evolution (DE) [16], Dragon algorithm (DA) [17], to name a few.”