Improved black-winged kite algorithm based on chaotic mapping and adversarial learning DOI Open Access
Mingjing Zhao, Zhongji Su, Chenyang Zhao

et al.

Journal of Physics Conference Series, Journal Year: 2024, Volume and Issue: 2898(1), P. 012040 - 012040

Published: Nov. 1, 2024

Abstract Aiming at the shortcomings of black-winged kite algorithm, such as poor uniformity initial population distribution, subjective search and single direction, this paper proposes an improved algorithm based on chaotic mapping adversarial learning. It then progresses to adopting Tent achieve a uniform solution introducing Beta random distribution optimizing nonlinear factor in attack phase make trend more line with demand, learning mechanism extend direction. Twelve benchmark test functions are tested compared five other algorithms, result shows that significantly outperforms algorithms terms searching ability optimization-finding accuracy.

Language: Английский

Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection DOI

Marwa M. Emam,

Essam H. Houssein, Nagwan Abdel Samee

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 180, P. 108984 - 108984

Published: Aug. 10, 2024

Language: Английский

Citations

8
Improved black-winged kite algorithm based on chaotic mapping and adversarial learning DOI Open Access
Mingjing Zhao, Zhongji Su, Chenyang Zhao

et al.

Journal of Physics Conference Series, Journal Year: 2024, Volume and Issue: 2898(1), P. 012040 - 012040

Published: Nov. 1, 2024

Abstract Aiming at the shortcomings of black-winged kite algorithm, such as poor uniformity initial population distribution, subjective search and single direction, this paper proposes an improved algorithm based on chaotic mapping adversarial learning. It then progresses to adopting Tent achieve a uniform solution introducing Beta random distribution optimizing nonlinear factor in attack phase make trend more line with demand, learning mechanism extend direction. Twelve benchmark test functions are tested compared five other algorithms, result shows that significantly outperforms algorithms terms searching ability optimization-finding accuracy.

Language: Английский

Citations

1