A Taxonomy Guided Method to Identify Metaheuristic Components
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-08757-8_41
Reference26 articles.
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2. Aranha, C., et al.: Metaphor-based metaheuristics, a call for action: the elephant in the room. Swarm Intell. (2021). https://doi.org/10.1007/s11721-021-00202-9
3. García-Martínez, C., Gutiérrez, P.D., Molina, D., Lozano, M., Herrera, F.: Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis’s weakness. Soft. Comput. 21(19), 5573–5583 (2017). https://doi.org/10.1007/s00500-016-2471-9
4. Tzanetos, A., Dounias, G.: Nature inspired optimization algorithms or simply variations of metaheuristics? Artif. Intell. Rev. 54(3), 1841–1862 (2020). https://doi.org/10.1007/s10462-020-09893-8
5. Molina, D., Poyatos, J., Ser, J.D., García, S., Hussain, A., Herrera, F.: Comprehensive taxonomies of nature- and bio-inspired optimization: inspiration versus algorithmic behavior, critical analysis recommendations. Cogn. Comput. 12(5), 897–939 (2020). https://doi.org/10.1007/s12559-020-09730-8
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