From 36ab857a101e37577939895e667032d0f453ac39 Mon Sep 17 00:00:00 2001 From: GuochenZhou <106387010+GuochenZhou@users.noreply.github.com> Date: Sat, 27 Jul 2024 21:40:46 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 128ae08c0..222ce2937 100644 --- a/README.md +++ b/README.md @@ -245,7 +245,7 @@ For each algorithm family, we try to provide several *representative* applicatio * Akimoto, Y. and Hansen, N., 2016, July. [Projection-based restricted covariance matrix adaptation for high dimension](https://dl.acm.org/doi/abs/10.1145/2908812.2908863). GECCO (pp. 197-204). ACM. * Auger, A. and Hansen, N., 2016. [Linear convergence of comparison-based step-size adaptive randomized search via stability of Markov chains](https://epubs.siam.org/doi/10.1137/140984038). SIOPT, 26(3), pp.1589-1624. * Hansen, N., Arnold, D.V. and Auger, A., 2015. [Evolution strategies](https://link.springer.com/chapter/10.1007/978-3-662-43505-2_44). In Springer Handbook of Computational Intelligence (pp. 871-898). Springer, Berlin, Heidelberg. - * Diouane, Y., Gratton, S. and Vicente, L.N., 2015. [Globally convergent evolution strategies](https://link.springer.com/article/10.1007/s10107-014-0793-x). Mathematical Programming, 152(1), pp.467-490. + * Diouane, Y., Gratton, S. and Vicente, L.N., 2015. [Globally convergent evolution strategies](https://link.springer.com/article/10.1007/s10107-014-0793-x). MP, 152(1), pp.467-490. * Akimoto, Y., Auger, A. and Hansen, N., 2014, July. [Comparison-based natural gradient optimization in high dimension](https://dl.acm.org/doi/abs/10.1145/2576768.2598258). GECCO (pp. 373-380). ACM. * Bäck, T., Foussette, C. and Krause, P., 2013. [Contemporary evolution strategies](https://link.springer.com/book/10.1007/978-3-642-40137-4). Berlin: Springer. [ Bäck, T., 2014, July. Introduction to evolution strategies. GECCO Companion (pp. 251-280). ] + [ Wang, H., Emmerich, M. and Bäck, T., 2014, March. [Mirrored orthogonal sampling with pairwise selection in evolution strategies](https://dl.acm.org/doi/10.1145/2554850.2555089). In Proceedings of Annual ACM Symposium on Applied Computing (pp. 154-156). ] * Rudolph, G., 2012. [Evolutionary strategies](https://link.springer.com/referenceworkentry/10.1007/978-3-540-92910-9_22). In Handbook of Natural Computing (pp. 673-698). Springer Berlin, Heidelberg.