The States of Matter Search (SMS)
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-89309-9_6
Reference63 articles.
1. Han, M.-F., Liao, S.-H., Chang, J.-Y., Lin, C.T.: Dynamic group-based differential evolution using a self-adaptive strategy for global optimization problems. Appl. Intell. https://doi.org/10.1007/s10489-012-0393-5
2. Pardalos Panos, M., Romeijn Edwin H., Tuy, H.: Recent developments and trends in global optimization. J. Comput. Appl. Math. 124, 209–228 (2000)
3. Floudas, C., Akrotirianakis, I., Caratzoulas, S., Meyer, C., Kallrath, J.: Global optimization in the 21st century: advances and challenges. Comput. Chem. Eng. 29(6), 1185–1202 (2005)
4. Ying, J., Ke-Cun, Z., Shao-Jian, Q.: A deterministic global optimization algorithm. Appl. Math. Comput. 185(1), 382–387 (2007)
5. Georgieva, A., Jordanov, I.: Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms. Eur. J. Oper. Res. 196, 413–422 (2009)
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