Reference12 articles.
1. Pardalos, P.M., Romeijn, H.E., Tuy, H.: Recent developments and trends in global optimization. J. Comput. Appl. Math. 124(1–2), 209–228 (2000).
https://doi.org/10.1016/S0377-0427(00)00425-8
2. Floudas, C.A., Akrotirianakis, I.G., Caratzoulas, S.: Global optimization in the 21st century: advances and challenges. Comput. Chem. Eng. 29(6), 1185–1202 (2005).
https://doi.org/10.1016/j.compchemeng.2005.02.006
3. Nanda, S.J., Panda, G.: A survey on nature inspired metaheuristic algorithms for partitional clustering. Swarm Evol. Comput. 16, 1–18 (2014).
https://doi.org/10.1016/j.swevo.2013.11.003
4. Singh, N., Singh, S.B.: A modified mean gray wolf optimization approach for benchmark and biomedical problems. Evol. Bioinform. 13 (2017).
https://doi.org/10.1177/2F1176934317729413
5. Hussein, W.A., Sahran, S., Sheikh Abdullah, S.N.H.: An improved Bees algorithm for real parameter optimization. Int. J. Adv. Comput. Sci. Appl. 6, 23–39 (2015)
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