From ca53ae0344e55cefdf12468d3b6de0bbc2bcadbb Mon Sep 17 00:00:00 2001 From: GuochenZhou <106387010+GuochenZhou@users.noreply.github.com> Date: Wed, 31 Jul 2024 18:41:50 +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 1a76a248a..2c3c3b181 100644 --- a/README.md +++ b/README.md @@ -278,7 +278,7 @@ all) [top-tier](https://github.com/Evolutionary-Intelligence/DistributedEvolutio * Pelikan, M., Hauschild, M.W. and Lobo, F.G., 2015. [Estimation of distribution algorithms](https://link.springer.com/chapter/10.1007/978-3-662-43505-2_45). In Springer Handbook of Computational Intelligence (pp. 899-928). Springer, Berlin, Heidelberg. * Dong, W., Chen, T., Tiňo, P. and Yao, X., 2013. [Scaling up estimation of distribution algorithms for continuous optimization](https://ieeexplore.ieee.org/document/6461934). TEVC, 17(6), pp.797-822. * Hauschild, M. and Pelikan, M., 2011. [An introduction and survey of estimation of distribution algorithms](https://www.sciencedirect.com/science/article/abs/pii/S2210650211000435). Swarm and Evolutionary Computation, 1(3), pp.111-128. - * Teytaud, F. and Teytaud, O., 2009, July. [Why one must use reweighting in estimation of distribution algorithms](https://dl.acm.org/doi/10.1145/1569901.1569964). In Proceedings of ACM Annual Conference on Genetic and Evolutionary Computation (pp. 453-460). + * Teytaud, F. and Teytaud, O., 2009, July. [Why one must use reweighting in estimation of distribution algorithms](https://dl.acm.org/doi/10.1145/1569901.1569964). GECCO (pp. 453-460). * Larrañaga, P. and Lozano, J.A. eds., 2001. [Estimation of distribution algorithms: A new tool for evolutionary computation](https://link.springer.com/book/10.1007/978-1-4615-1539-5). Springer Science & Business Media. * Mühlenbein, H., 1997. [The equation for response to selection and its use for prediction](https://tinyurl.com/yt78c786). ECJ, 5(3), pp.303-346. * Baluja, S. and Caruana, R., 1995. [Removing the genetics from the standard genetic algorithm](https://www.sciencedirect.com/science/article/pii/B9781558603776500141). ICML (pp. 38-46). Morgan Kaufmann.