Modified group theory-based optimization algorithms for numerical optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02982-3.pdf
Reference43 articles.
1. Horst R, Tuy H (2013) Global optimization: deterministic approaches. Springer, Verlag
2. Dan S (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12(6):702
3. Pillay N, Engelbrecht AP, Abraham A et al (2016) Advances in nature and biologically inspired computing. Springer International Publishing
4. Ashlock D (2006) Evolutionary computation for modeling and optimization. Springer, New York. https://doi.org/10.1007/0-387-31909-3
5. He Y, Wang X (2018) Group theory-based optimization algorithm for solving knapsack problems. Knowl Based Syst. https://doi.org/10.1016/j.knosys.2018.07.045
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