Low-Memory Matrix Adaptation Evolution Strategies Exploiting Gradient Information and Lévy Flight
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56852-7_3
Reference21 articles.
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3. Caraffini, F., Iacca, G., Neri, F., Picinali, L., Mininno, E.: A CMA-ES super-fit scheme for the re-sampled inheritance search. In: IEEE Congress on Evolutionary Computation, pp. 1123–1130. IEEE (2013)
4. Caraffini, F., Iacca, G., Yaman, A.: Improving (1+1) covariance matrix adaptation evolution strategy: a simple yet efficient approach. In: International Global Optimization Workshop (2019)
5. Igel, C., Hansen, N., Roth, S.: Covariance matrix adaptation for multi-objective optimization. Evol. Comput. 15(1), 1–28 (2007)
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