A Simple Statistical Test Against Origin-Biased Metaheuristics
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56852-7_21
Reference34 articles.
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3. Camacho-Villalón, C.L., Dorigo, M., Stützle, T.: Exposing the grey wolf, moth-flame, whale, firefly, bat, and antlion algorithms: six misleading optimization techniques inspired by bestial metaphors. Int. Trans. Oper. Res. 30, 2945–2971 (2023)
4. Campelo, F., Aranha, C.: Ec bestiary: A bestiary of evolutionary, swarm and other metaphor-based algorithms (2018). https://zenodo.org/records/1293352
5. Doerr, C.: Complexity theory for discrete black-box optimization heuristics. In: Doerr, B., Neumann, F. (eds.) Theory of Evolutionary Computation: Recent Developments in Discrete Optimization, pp. 133–212. Springer International Publishing, Cham (2020). https://doi.org/10.1007/978-3-030-29414-4_3
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