Teaching–learning guided salp swarm algorithm for global optimization tasks and feature selection

Author:

Li Jun,Ren Hao,Chen Huiling,Li ChenYang

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference87 articles.

1. Abdel-mawgoud H, Kamel S, Yu J, Jurado F (2019) Hybrid salp swarm algorithm for integrating renewable distributed energy resources in distribution systems considering annual load growth. J King Saud Univ—Comput Inf Sci 34(1):1381–1393

2. Ahmadianfar I, Asghar Heidari A, Gandomi AH, Chu X, Chen H (2021) RUN beyond the metaphor: an efficient optimization algorithm based on Runge Kutta method. Expert Syst Appl 181:115079

3. Ahmadianfar I, Asghar Heidari A, Noshadian S, Chen H, Gandomi AH (2022) INFO: an efficient optimization algorithm based on weighted mean of vectors. Expert Syst Appl 195:116516

4. Basturk B, Karaboga, D (2006) An artificial bee colony (ABC) algorithm for numeric function optimization. In: Proceedings of the IEEE swarm intelligence symposium, Indianapolis, IN, USA, May, 2006 pp 12–14

5. Cao Y, Zhang H, Li W, Zhou M, Zhang Y, Chaovalitwongse W (2018) Comprehensive learning particle swarm optimization algorithm with local search for multimodal functions. IEEE Trans Evolut Comput 23:718–731

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